Podcast Episode 97

Episode 097 36 min

The God-Level Hacker: How One Founder Is Building the World's Most Powerful Offensive Cyber Tool

with Alexis Lingad

0:00 / 36:00

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Episode 97 of The Security Podcast of Silicon Valley, published June 16, 2026 and recorded in May 2026. Hosts Jon McLachlan and Sasha Sinkevich talk with Alexis Lingad, founder and CEO of KinoSec, which builds autonomous AI agents that attack a customer's systems the way a real intruder would, with permission. Alexis describes what people call a cyber weapon, Palantir for offensive cyber operations, and a god-level hacker that gathers intelligence on a target. They cover getting kicked out of college over a report, scoping every attack and keeping a kill switch, models that don't honor kill switches, KinoSec's own model named Skynet, selling to pen testing firms first, the XBOW benchmark, his first startup and the Hackuna Anti-Hack app, getting humbled in Germany, a cybersecurity arms race that moves in months, Stuxnet, chaining web, IoT and physical systems, the false hope of a web-only test, the bat signal, eminent domain, models without guardrails, an API key that became internal phishing, the cat and mouse game, advisors around a tool he compares to a nuclear weapon, a hotel's door locks and a three-phase plan that ends in a sovereign-level weapon. About 36 minutes.

Episode notes

A hacker who got kicked out of college for finding their vulnerabilities, became a national hacking champion, and is now building what he calls a sovereign-level cyber weapon. Alexis Lingad, founder of Kinosec, built an autonomous AI system that chains exploits across web, IoT, and physical infrastructure the same way a real attacker would, and he's already using it to sell AI pen testing to enterprise security teams. Tune in to hear how he's building the weapon before the bad guys do. 

Hosted by Jon McLachlan and Sasha Sinkevich — co-founders of YSecurity.

The deep dive

A hacker that doesn't stop at the web

Alexis Lingad, founder and CEO of KinoSec, with Jon and Sasha on the god-level hacker he set out to build, a college report that got him kicked out, scoping and kill switches, a model named to remind the team what it is trying to prevent, selling to pen testing firms first, the first startup and the humbling years in Germany, an arms race that moves in months, Stuxnet, chaining web to IoT to physical doors, an API key that became a phishing campaign, models without guardrails, the cat and mouse game, and a three-phase plan that ends in a sovereign-level weapon.

Episode 97 of The Security Podcast of Silicon Valley aired on June 16, 2026, with Jon McLachlan and Sasha Sinkevich hosting. The guest was Alexis Lingad, founder and CEO of KinoSec, a San Francisco startup building autonomous offensive security: software agents that attack a customer’s systems the way an intruder would, with permission, and report what they got into. Jon asked what he had been up to. Alexis answered with the phrase the rest of the conversation kept circling back to.

“It’s not really a cyber weapon, but, yeah, I mean, they call it a cyber weapon”

Alexis Lingad, at 1:53

Asked to expand, he described the product in two moves: gather intelligence on a target, then break in wherever the target is weakest, online or off.

“we created, like, a god-level hacker that can, what do you call this, gather intelligence for some specific target.”

Alexis Lingad, at 2:22

Listen · Alexis on episode 97, from 2:20
About 25 seconds: Alexis on the god-level hacker he set out to build, and the digital and physical capabilities behind it. The clip stops on its own. Read the full transcript.

His LinkedIn fills in how a self-taught hacker got here (LinkedIn). He interned as a penetration tester at Garin Technologies in California from November 2013, then founded Cryptors in Metro Manila in April 2015, where he did web, mobile and network testing, was “PH Hacker Games Champion 2015 & 2017” and built Hackuna Anti-Hack, an app he describes as the first in the world to track hackers. From March 2020 he worked in security at the PUMA Group, first remotely and then on site in Germany, rising to senior cyber security engineer, and from December 2024 to January 2026 he was a penetration tester at ProSec in Germany. He founded KinoSec in February 2026. He is also the author of a book, Cyber Defender, which KinoSec’s team page dates to 2015 (KinoSec).

The conversation was recorded in May 2026, a few weeks after KinoSec announced the benchmark result Alexis mentions on the tape, and about a month before it aired. In the five months since, KinoSec closed a pre-seed round, won a capture-the-flag contest at DEF CON 34 by its own account, and reshaped its homepage around a white-label product for managed service providers. The last section below covers that.

This page is the rest of it: a section for each part of the conversation with the sources beside it, thirteen figures, twelve clips from the tape, a LinkedIn card, the full transcript and the video, and four tools: a quiz, a scorecard for how much of the attack path your pen test sees, a calculator for the surfaces your last test missed, and a timeline from the Philippine Hacker Games to DEF CON 34.

A word on framing before the sections. Everything KinoSec sells to companies today is a penetration test, which Wikipedia defines as “an authorized simulated cyberattack on a computer system” (Wikipedia). The bigger claims on the tape, about governments, sovereign buyers and the company’s future, are Alexis’s account of his plans. Where we couldn’t confirm something, the page says so.

A cyber weapon, by his own name

The first answer set the tone. KinoSec was in San Francisco, it had built what people call a cyber weapon, and the comparison Alexis reached for was a company better known for intelligence software than for hacking.

“It’s Palantir for offensive cyber operations.”

Alexis Lingad, at 2:11

Palantir, per Wikipedia, “develops data integration and analytics software,” and its Gotham platform is “an intelligence tool used by militaries and counter-terrorism analysts” (Wikipedia). Alexis used the same comparison in a LinkedIn post in late May 2026 about a pitch at The Residency, a startup program in San Francisco that backs KinoSec, where he called the endgame a “next level Palantir” for the people protecting us (LinkedIn). On the tape he described what the god-level hacker does for a buyer: gather intelligence on a target, hack within the digital and the physical realm, and use those capabilities “in order to neutralize those operations of the high-profile threats.” The buyer he had in mind for that version is whoever buys the product to protect a country, and his example of a target was terrorists. The same post puts the plan in one line: enterprises first, “so governments can wield it against the world’s most dangerous threats tomorrow.”

That is the long-term vision, and KinoSec’s site gives it a name, Project Hades, under the line “The cyber doomsday is coming.” (KinoSec). What companies buy from KinoSec today is narrower and familiar: an automated penetration test that tries to get as far into their own systems as a real intruder would.

Batman and a college report

Sasha asked what prompted the company. Alexis went back to childhood.

“when I was a kid, I wanted to become Batman. That’s why I learned hacking.”

Alexis Lingad, at 3:18

He told the same story on LinkedIn on June 3, 2026, in a post that opens “Some kids wanted to be astronauts.” and introduces Project Hades (LinkedIn).

The next step was the one that shaped the rest. He hacked his own college, wrote up how he got in, and handed the report over to help.

“But they didn’t like it, so I got kicked out.”

Alexis Lingad, at 3:31

Jon asked which college. Alexis said he couldn’t say on air, and the conversation moved on. A third-party profile he reshared on LinkedIn, from ForgeUp Ventures, says he began hacking as a teenager and wrote a book about hacking at 19. KinoSec’s team page describes the book as telling his “hacking journey from being a blackhat to whitehat” (KinoSec).

The college story is the oldest version of the problem KinoSec sells against. A finding nobody asked for, from someone nobody authorized, lands as an attack even when it arrives as a report. Penetration testing exists so the same work arrives with a contract, a scope and a name on it. If you have never had a test, our penetration testing team does exactly that, with a retest at the end.

A timeline of seven entries. November 2013, intern: penetration tester intern at Garin Technologies in California. Filled, April 2015, Cryptors: his first company, in Metro Manila, and Philippine Hacker Games champion in 2015 and 2017. 2015, Cyber Defender: his book about his hacking journey. Filled, 2018, Hackuna Anti-Hack: the anti-hack app passes a million users. March 2020, PUMA: security at the PUMA Group, first remote and then on site in Germany. December 2024, ProSec: penetration tester in Germany, until January 2026. Filled, February 2026, KinoSec: founder and CEO, building autonomous offensive security in San Francisco. His line underneath: when I was a kid, I wanted to become Batman. That's why I learned hacking.
From an internship in California to a startup in San Francisco, from his LinkedIn and KinoSec's team page.

A scope and a kill switch

Sasha raised the question most people have when they first hear the words autonomous hacker: what keeps it inside the lines?

“How do you balance the power behind the AI technology, especially when you chain it?”

Sasha Sinkevich, at 3:51

Alexis’s answer had three parts. Every attack starts with a scope. The agent works within the attack surfaces in that scope and checks whether it is straying outside them. And behind that check sits a switch.

“we have a scoping at the very, very beginning of every attack that we’re doing.”

Alexis Lingad, at 4:19

“Then usually it will have a kill switch in order to, you know, not hack the whole world.”

Alexis Lingad, at 4:41

Listen · Alexis on episode 97, from 4:17
About 30 seconds: Alexis on scoping every attack, and the kill switch behind it. The clip stops on its own. Read the full transcript.

Sasha’s follow-up named the weak spot in that design.

“But we know that certain models are not honoring kill switches.”

Sasha Sinkevich, at 4:48

A kill switch, in the engineering sense, is “a safety mechanism used to shut off machinery in an emergency” (Wikipedia), and it only works if the machine obeys it. Human red teams have long relied on something sturdier than a switch: written rules of engagement, which Wikipedia describes as used “to ensure that the red team does not cause damage during their exercises” (Wikipedia). The buyer’s version of Sasha’s question is three questions for any automated testing vendor. Who wrote the scope? Who can stop the run? And has anyone tested that stopping it works?

Three boxes linked by arrows. A scope, written at the very beginning. A scope check, asking whether the agent is straying outside it. And a filled box, a kill switch, so it doesn't hack the world. An arrow drops from the switch to a dashed box, the caveat: certain models don't honor switches. Below, three questions for any vendor: who wrote the scope, who can stop the run, and has anyone tested that stopping it works. Two lines from the tape. Alexis: we have a scoping at the very, very beginning of every attack that we're doing. Sasha: but we know that certain models are not honoring kill switches.
Scope, a check against the scope, a kill switch, and the caveat Sasha raised.

A model called Skynet

Sasha asked about the models underneath. Alexis said KinoSec uses many models for specific tasks and is also building its own.

“we are also creating our own LLM called Skynet.”

Alexis Lingad, at 5:12

The name, he said, is a reminder for the team: “we’re doing this to prevent Skynet.” Skynet is the fictional superintelligence that serves as “the main antagonist of the Terminator franchise” (Wikipedia). Sasha had the line of the exchange.

“I’m sure you don’t need to remind them. The name is very memorable.”

Sasha Sinkevich, at 5:27

The more useful detail for buyers came next. The strategies KinoSec’s agents use in commercial engagements, the AI pen tests it sells to companies, feed that model so it becomes, in Alexis’s words, “much more intelligent and continuously learning.” That is how a testing product improves, and it is also a procurement question worth asking any vendor plainly: what from my test, if anything, ends up in your model, and in what form? A good vendor will have a written answer.

A loop of four boxes. Commercial engagements, the AI pen tests sold to companies, lead to strategies, what worked in each attack. Those feed a filled box, Skynet, KinoSec's own model in training, which feeds the next engagement, much more intelligent in his words, and the loop returns to the start. Below, a dashed box with the buyer's question: what from my test, if anything, ends up in your model, and in what form? Lines from the tape. Alexis: we are also creating our own LLM called Skynet. And: we're doing this to prevent Skynet. Sasha: I'm sure you don't need to remind them. The name is very memorable.
The loop Alexis described: engagements feed strategies into the company's own model, which feeds the next engagement.

Pen testing firms first

Sasha asked how a technology this sensitive finds traction with enterprises. Alexis’s answer was a lesson in picking a first customer. KinoSec didn’t start with enterprises. It started with the people who already do the work.

“So technically, they are the easiest ICP for us.”

Alexis Lingad, at 6:59

Pen testing companies already know the tools and what the product is for, he said, and they want more revenue and more customers without hiring more pen testers. With KinoSec, a firm could serve far more clients with the same team.

“they can just have our tool in order to do it with just two, three, five people and have one thousand customers and stuff like that.”

Alexis Lingad, at 7:11

Listen · Alexis on episode 97, from 6:47
About 30 seconds: Alexis on why pen testing firms were the easiest first customer. The clip stops on its own. Read the full transcript.

Enterprises with security teams of their own came second. Alexis said KinoSec was in talks with Puma and that Puma’s chief information security officer had just joined as an advisor, to connect the company with other security chiefs in Europe. Jon guessed Puma was a fashion brand and Alexis corrected him: a sports brand. Wikipedia calls Puma “the third largest sportswear manufacturer in the world” (Wikipedia), and Alexis knows it well, since his LinkedIn shows him in security at the PUMA Group for four years and nine months before ProSec.

Three boxes linked by arrows. Filled, pen testing firms, first, the easiest ICP. Enterprise teams, second, starting with Puma. Dashed, governments, the long-term vision. Below, three figures. Two, three or five people at a pen testing firm, with the tool, in Alexis's words. 1,000 customers they could serve without hiring more pen testers. And four years nine months, the time Alexis spent at the PUMA Group before ProSec, per his LinkedIn. His lines underneath: so technically, they are the easiest ICP for us. And: they can just have our tool in order to do it with just two, three, five people and have one thousand customers and stuff like that.
Who buys first: pen testing firms, then enterprise security teams, then the long-term buyer Alexis described.

Number one on a benchmark

Jon asked for the founding story. Alexis started KinoSec alone and hired his first executives after early traction.

“when we became the number one in XBOW, and a lot of other traction that we got, then I hired a CTO”

Alexis Lingad, at 9:00

The benchmark is a set of 104 web security challenges published by XBOW, a rival autonomous pentesting company. On May 7, 2026, KinoSec announced a 99.04% success rate on it, 103 of the 104 challenges, and called itself the top autonomous pentesting platform on that benchmark (KinoSec). The same post puts XBOW’s own result at 85%. These are KinoSec’s figures, not an independent test, and a public benchmark measures web challenges, not the chained attacks the rest of this conversation is about. The tape’s mention of the result is also how we date the recording to after May 7.

Sasha asked whether KinoSec had raised. Alexis said yes, and Sasha congratulated him. On June 23, a week after the episode aired, Alexis announced a $1 million pre-seed round at a $15 million valuation on LinkedIn, and KinoSec’s team page later recorded “Raised $1.1M in pre-seed funding” (KinoSec).

Two bars. KinoSec, by its own count, at 99.04 percent, filled. XBOW, as KinoSec's post reports it, at 85 percent, in outline. Below, KinoSec's results by level from the same post: 45 of 45 level one challenges, 50 of 51 level two and 8 of 8 level three, 103 of 104 in all. His line underneath: when we became the number one in XBOW, and a lot of other traction that we got, then I hired a CTO.
KinoSec's self-reported results on the XBOW benchmark, as published on May 7, 2026.

The first company

Alexis then went back to the beginning. After he was kicked out, he said, no one would hire him, so he started a company of his own.

“So I created my first startup, and then I became a national hacking champion twice.”

Alexis Lingad, at 9:42

His LinkedIn names the company and the titles: Cryptors, from April 2015 to January 2020, and the Philippine Hacker Games in 2015 and 2017. Most of the products failed, he said, but one succeeded.

“this Hackuna Anti-Hack is the first mobile app in the world that tracks hackers.”

Alexis Lingad, at 10:05

On the tape it “gained millions of users worldwide.” KinoSec’s team page says it reached “1 Million+ Users” in 2018 and his LinkedIn headline says 3 million, and a profile he reshared from PlayHouse Ventures says it protected people on public Wi-Fi networks. He said the company became startup of the year in 2018 and exited in 2020. His LinkedIn lists “Startup of the Year 2018 in the Philippines,” and KinoSec’s team page records an incubation program with KMC and ImpactHub Manila the same year. We couldn’t find a public record of the exit or its buyer.

Listen · Alexis on episode 97, from 9:36
About 35 seconds: Alexis on his first startup, two national hacking titles and the anti-hack app. The clip stops on its own. Read the full transcript.

Humbled in Germany

After the exit, he tried to retire for a month and got bored. He went to Germany to work as an ethical hacker and surround himself with people who knew more than he did.

“I think you can grow more if you’re surrounded with people that is much, much, much, much smarter than you.”

Alexis Lingad, at 10:40

“And I got humbled a lot in there, which is really, really good experience.”

Alexis Lingad, at 10:47

The LinkedIn record matches the arc: Puma from 2020 and ProSec until January 2026, the month before KinoSec began. In July he posted the moment he left, quitting a job in Germany he liked to build the product alone, and the problem that pushed him out the door.

Throwback: I quit a job in Germany I actually liked.
A week later, I was sleeping on my friend's couch.

I had a flight to Vienna back then and a product I'd been building by myself.

No customers.
No investors.
No proof anyone would pay for it.

Just one problem I couldn't stop thinking about.
Clients kept telling me:
"We tested our web app. We're secure."

But real attackers don't stop at the web app.
Neither did I.

Alexis Lingad · July 24, 2026
Alexis on LinkedIn, July 24, 2026, on leaving Germany to build KinoSec. View on LinkedIn.

That post is the cleanest statement of KinoSec’s thesis, and it is a good test for any company: if your last pen test covered only the web app, what did it say about everything the web app connects to?

An arm race, cloak and dagger

Alexis framed the company’s mission as getting there first.

“So, in order for us to counter that looming threat, we created the weapon first, and to counter them.”

Alexis Lingad, at 10:52

He called it a cybersecurity arm race, and Jon gave it a period.

“I like it. It’s very Cold War, like cloak and dagger.”

Jon McLachlan, at 11:08

“Just be careful who you let use the system, huh?”

Jon McLachlan, at 11:13

The Cold War, per Wikipedia, included “an arms race in both conventional and nuclear weapons,” and cloak and dagger became a metaphor for “intrigue, secrecy, espionage, or mystery” (Wikipedia, Wikipedia). Alexis took Jon’s warning in stride. He said that in the past few days he had talked with former Pentagon people who were connecting him with the NSA, and that he had an investor who worked with the CIA. Those are his account, and we couldn’t verify them. His LinkedIn post about the pre-seed round thanks “angels from defense, journalism, cybersecurity and more.”

Months, not years

Sasha took the arms race seriously. The race between offense and defense is as old as the internet, Sasha said, and new technology speeds it up and shrinks the margin for error. Where was it going?

“I think it will exponentially change in the next few months. Not years, but few months.”

Alexis Lingad, at 12:18

The reason, he said, is the continuous learning and self-learning so many startups are working on, past the buzzwords. You could already see it every day, and most of what was happening involved some AI agents, or in his words, “there’s a flavor of AI in there.” The record since the tape is on his side about direction, if not about every incident. Phishing, the oldest way in, is now cheap to personalize, and Wikipedia notes that “Large language models can automate personalized phishing at low cost” (Wikipedia). Our companion post, AI Cyberattacks Are Going Autonomous, walks through the documented cases from the months after this conversation.

Listen · Alexis on episode 97, from 12:18
About 25 seconds: Alexis on why the race will change in months, not years. The clip stops on its own. Read the full transcript.

Stuxnet, by hand

Sasha asked for the biggest threat vector Alexis sees.

“What’s the biggest threat vector based on your experience?”

Sasha Sinkevich, at 13:16

Alexis didn’t name a technique. He named a precedent.

“that specific attack is specialized in targeting the critical infrastructure. And imagine, that time, there’s still not much of an AI, but they did it.”

Alexis Lingad, at 13:25

Stuxnet was “first uncovered on 17 June 2010,” per Wikipedia. It targeted industrial control systems, worked by “Exploiting four zero-day flaws,” reached its target on infected USB drives that crossed the air gap, and was reported to have destroyed about 1,000 centrifuges at Iran’s Natanz facility (Wikipedia). Multiple news organizations have reported that it was built jointly by the United States and Israel, which neither country has openly admitted. His point was about the gap between then and now. That attack took years of skilled human work. An agent that can chain web, network and control-system weaknesses on its own shortens that.

Three boxes linked by arrows: an infected USB drive carried across the air gap, control software that runs the plant, and a filled box, centrifuges at Iran's Natanz facility. Below, four figures from Wikipedia. First uncovered June 17, 2010. Four zero-day flaws exploited. About 1,000 centrifuges reported destroyed. More than 100,000 computers infected by the end of September 2010. Two lines from the tape. Sasha: what's the biggest threat vector based on your experience? Alexis: and imagine, that time, there's still not much of an AI, but they did it.
What one attack did by hand in 2010, and the question Alexis asked about what AI changes.

Beyond the web

That is why KinoSec doesn’t stop at web applications, Alexis said. His competitors focus on the web and the network, and his verdict on that was “It sounds cute.”

“So we are also focusing on the physical hacking, drones, robotics, IoT and critical infrastructure and stuff like that.”

Alexis Lingad, at 14:12

The point of covering all of it is to chain one surface into the next, the way an intruder would. A company that tests only its web app gets a clean report on the web app, and an exposed device or server connected to it can still let someone in. His word for the result is the one to remember.

“then they will have a false hope.”

Alexis Lingad, at 14:42

Listen · Alexis on episode 97, from 14:11
About 35 seconds: Alexis on chaining web, IoT and physical systems, and the false hope of a web-only test. The clip stops on its own. Read the full transcript.

Sasha put it in a defender’s terms, and Alexis agreed.

“So would you say that you are building a solution across all of the layers of security to prevent the lateral movement?”

Sasha Sinkevich, at 15:14

Lateral movement, per Wikipedia, covers the techniques attackers use “to move progressively through a network,” and it is part of the ATT&CK framework (Wikipedia). The Internet of things sits right in that path. Wikipedia notes that “IoT devices are vulnerable to security breaches” because of how connected they are (Wikipedia), and episode 94 with Jim LaRoe is about how one unsecured printer can take down 11,000 devices. If your pen test scope stops at the web tier, our penetration testing team can scope the network and the devices too.

Two rows of the same five surfaces. Web apps, the front door. APIs and cloud, keys and services. Networks, lateral movement. IoT and OT, connected devices. And physical, doors and drones. In the first row, a web-only test, only web apps is filled and the other four are dashed. In the second row, what Alexis wants tested together, all five are linked by arrows. Lines from the tape. Alexis: so we are also focusing on the physical hacking, drones, robotics, IoT and critical infrastructure and stuff like that. And, about companies that test only the web: then they will have a false hope. Sasha: so would you say that you are building a solution across all of the layers of security to prevent the lateral movement?
The surfaces Alexis wants tested together, and where a web-only test stops.

Why Sasha didn’t say AI

Jon had noticed something about Sasha’s questions.

“I’m so curious, Sasha, why you didn’t want to say AI earlier in your conversation, like in your question.”

Jon McLachlan, at 15:29

Sasha’s answer was about keeping the conversation on the mechanics.

“I’m trying to leave space for implementation discussions.”

Sasha Sinkevich, at 15:44

Throwing around AI, LLMs, small models and embeddings, Sasha said, “it’s often diluting the focus of the discussion.” Then Sasha conceded the obvious: every modern technology stack has it, and its name is AI. It is a fair habit for anyone evaluating an AI security product. Ask what it does, step by step, before asking what it is made of.

The hardest decision

Jon asked the show’s standing question about the hardest thing Alexis had ever done. His answer was the decision to start again.

“I think one of the hardest things is deciding to do this second startup”

Alexis Lingad, at 16:31

If KinoSec succeeds in building the most powerful cyber weapon in the world, he said, governments and countries will try to control it or take it, and he half-joked that someone might try to kill him. Jon pushed on the framing.

“It’s just going to happen much more quickly. So things will get more intense.”

Jon McLachlan, at 17:15

Jon’s point was that a cybersecurity information war doesn’t add new events so much as speed up the ones already coming, and he noted that Alexis had considered the other side and ended up, after Germany, on the good guy’s side.

Curious, not a villain

Alexis didn’t pretend the other side never tempted him.

“Yeah, I mean, sometimes I just wanted to become a villain, you know.”

Alexis Lingad, at 17:33

People cast the hacker as the villain, he said, but hacking taught him to think out of the box and to be different, and what drove him as a kid was curiosity about how things fail.

“I want to know what will happen if it breaks”

Alexis Lingad, at 18:13

Sasha finished the thought from experience.

“Yeah, people who don’t understand, like, they make fun of us, right?”

Sasha Sinkevich, at 18:39

That curiosity is the trait good security people share, and it’s the subject of episode 80 with Ted Harrington, on why curiosity drives both innovation and security.

The bat signal

Jon asked what success looks like. Alexis went back to Batman.

“when they see our logo, it’s like the bat signal”

Alexis Lingad, at 19:10

In his picture, a high-profile criminal who sees that a country is protected by KinoSec feels fear, because the hacker behind the logo is like a god, all-knowing, and the world that results has less crime and is better for the next generation. The comparison is apt in a way he may not have intended. Wikipedia notes that in the comics the Bat-Signal summons Batman and also serves “as a weapon of psychological intimidation to the numerous criminals of Gotham City” (Wikipedia).

He also named the safeguard for that version, and it is the most concrete one in the episode.

“the one that is using it will be hacked first”

Alexis Lingad, at 20:19

The goal, he said, is a weapon that is autonomous and can’t be controlled by evil people, and checking the user first is how KinoSec would make sure the user isn’t the threat. For any security vendor, the version of that idea worth asking about is ordinary customer verification: written authorization, proof that you own what you asked to be tested, and a record of who approved the run.

Listen · Alexis on episode 97, from 19:07
About 25 seconds: Alexis on the world he is building toward, and the logo criminals would fear. The clip stops on its own. Read the full transcript.

A realistic hacker

Sasha asked for clarity. Was KinoSec building something that goes after attackers, or something that finds vulnerabilities across every layer, maybe in stages? Alexis brought it back to what customers buy.

“we hack the client as just like a realistic hacker.”

Alexis Lingad, at 21:16

A realistic hacker doesn’t stop at a list of weaknesses, he said. It exploits them, chains the exploits, escalates privilege and gathers context from one surface to attack the next.

“So when we say realistic hacker, we will not limit ourselves with just vulnerability analysis.”

Alexis Lingad, at 21:19

The deliverable is a report with a proof of concept and suggested fixes, plus a view in KinoSec’s platform where the customer can watch the attack live, which he said is the most entertaining part for clients. Everything the agent does is visible, from escalating a privilege to adding a user.

“It’s transparent.”

Alexis Lingad, at 22:27

Listen · Alexis on episode 97, from 22:00
About 30 seconds: Alexis on hacking a client like a real attacker, and showing every step. The clip stops on its own. Read the full transcript.

Privilege escalation, per Wikipedia, is “the act of exploiting a bug, a design flaw, or a configuration oversight” to gain access normally protected from a user (Wikipedia), and it is the step that turns a foothold into a breach. KinoSec’s site now offers a feature that sends code fixes back as draft pull requests, with the note that “KinoSec never merges” (KinoSec). If you are choosing a test, our companion post AI Penetration Testing covers what agents do well, where human testers still earn their fee, and what a report should show.

Four boxes linked by arrows: gather context from each surface, find weaknesses, exploit to prove it works, and chain and escalate into the next surface, with a dashed line looping back to the start. Below, what the customer gets: a filled box, the report, with a proof of concept and fixes to put in, and the live view, to watch the attack in the platform. His lines underneath: so when we say realistic hacker, we will not limit ourselves with just vulnerability analysis. And: it's transparent.
The loop of a realistic hacker, as Alexis described it, and what the customer gets at the end.

Eminent domain

Jon had a warning for a founder building military-grade technology.

“Be careful. Like, the governments are going to come around and declare eminent domain”

Jon McLachlan, at 22:37

Eminent domain is “the compulsory acquisition of private property for public use,” per Wikipedia, with just compensation (Wikipedia). Alexis didn’t laugh it off.

“We are actually preparing for that.”

Alexis Lingad, at 22:51

Once KinoSec enters that domain, he said, there are a lot of looming threats, and the company had prepared something for them. He didn’t say what.

Without limits

Jon asked the question every buyer of an AI security product should. The big model providers have guardrails, safety programs and strict terms of service, there is now an ISO 42001 standard for managing AI, and breaking into systems is not an allowed use under their terms of service. How does KinoSec’s software get around that? Alexis’s answer was the model from earlier.

“Yeah. Yeah. So that’s why we have the Skynet.”

Alexis Lingad, at 23:46

KinoSec’s own model, he said, runs “purely without limits,” and that is what lets it go deeper than frontier models will.

“for frontier LLMs, they can do information gathering, exploit and sometimes vulnerability analysis.”

Alexis Lingad, at 24:14

The deeper work, chaining exploits and escalating privileges, takes a lot more. Sasha guessed that KinoSec builds on open models without built-in guardrails and fine-tunes them with context from its own expertise and experience, and Alexis agreed, adding “a bunch of other models that are pretty open.” Two things follow for defenders. A model’s refusal is one layer of protection and not the whole plan, because offensive tools can run on models with no refusals at all. And the safeguards that count for an offensive tool are the ones outside the model: the scope, the switch and the customer checks from earlier sections.

Two columns. Frontier models can do information gathering, exploitation and sometimes vulnerability analysis. What takes a lot more, in dashed marks: digging deeper, chaining exploits and escalating privileges. Below, KinoSec's answer: its own model, Skynet, and open models, fine-tuned with its team's experience. For defenders: a model's refusal is one layer of protection, not the whole plan, and the safeguards that count sit outside the model, the scope, the switch and checks on who is using it. His line underneath: for frontier LLMs, they can do information gathering, exploit and sometimes vulnerability analysis.
What frontier models do on their own, by Alexis's account, and what chaining takes.

One API key

Jon asked the question the whole category raises.

“Will your product social engineer its way into the systems?”

Jon McLachlan, at 24:48

Alexis answered with a case from a client engagement. The agent hacked the client’s web application and collected the API keys it found there.

“And one of those API keys is Resend API key. And then our AI agent used that Resend API key in order to get the admin email.”

Alexis Lingad, at 25:01

Resend is an email service for developers, built to “Deliver transactional and marketing emails at scale” (Resend). With the admin’s address in hand, the agent took the next step on its own.

“And then after getting the admin email, it sent internal phishing to all of the companies.”

Alexis Lingad, at 25:12

He named it as he went.

“Yeah, that’s social engineering. And my God, that’s like spear phishing.”

Alexis Lingad, at 25:22

Listen · Alexis on episode 97, from 24:51
About 40 seconds: Alexis on the API key that became an internal phishing campaign. The clip stops on its own. Read the full transcript.

Competing tools, he said, would stop at the exposed API keys. His point was that the finding is where the attack starts. An API key is “a secret unique identifier used to authenticate and authorize” a program to a service, per Wikipedia, which also warns that developers “may hard-code keys into source code, and forget that when they release the code.” In 2017 a security firm examined 16,000 Android apps and found hard-coded API keys in more than 300 of them (Wikipedia).

Three things follow for defenders. Keep secrets out of anything a browser can read, and scan code and builds for them before every release. Give each key the least it needs, so a leaked one reaches as little as possible, the subject of episode 105 with Yair Grindlinger. And treat a key that can send email as a key to the company’s voice. Spear phishing is the targeted form of phishing (Wikipedia), and mail sent through the company’s own sending account looks like the company because it is. Our monitoring and response team can watch for an account that starts behaving strangely, and a penetration test can show what your exposed keys reach before someone else finds out.

Two rows. The chain: four boxes linked by arrows, the client's web app hacked, API keys collected including one for an email service, the admin email found with that key, and a filled box, internal phishing sent to all of the companies. Where a defense could have broken it, four dashed boxes: test the app like an attacker would, keep keys out of code a browser reads, scope the key to the least it needs, and watch the sender to flag odd sending. Lines from the tape. Jon: will your product social engineer its way into the systems? Alexis: and then after getting the admin email, it sent internal phishing to all of the companies.
One key, four steps: the chain Alexis described, and where a defense could have broken it.

Cat and mouse

Sasha took the case wider.

“there’s been so much money poured into the application layer security.”

Sasha Sinkevich, at 25:49

There are good solutions out there, Sasha said, and adopting them fairly gives good coverage. But an organization is much more than its application layer or its web entry point.

“There are so many other ways to infiltrate the organization.”

Sasha Sinkevich, at 26:11

Sasha listed the ones the conversation had covered: the networks, the IoT devices on them that allow lateral movement, and the oldest one.

“Phishing is still a pretty successful way to get into the organization.”

Sasha Sinkevich, at 26:26

There are solutions meant to protect against all of it, Sasha said, “but this is a cat and mouse game.” The attacker is creative and moves faster than the defense, so a company is better off as friends with an attacking force that knows how to get around its controls and still find the gaps. Then came the line every security buyer should keep.

“there is no such thing as a perfect system.”

Sasha Sinkevich, at 27:05

“I can guarantee you there are things that we don’t know.”

Sasha Sinkevich, at 27:23

Listen · Sasha on episode 97, from 27:03
About 25 seconds: Sasha on why there is no perfect system, and the gaps nobody knows about yet. The clip stops on its own. Read the full transcript.

The working version of that idea is defense in depth. Wikipedia describes it as “multiple layers of security controls” placed throughout a system, so there is redundancy “in the event a security control fails” (Wikipedia). Layers cover the failures you can imagine. Testing by someone who thinks like the attacker finds the ones you can’t. Episode 88 with Andrew Rubin is about the layer that stops one breach from spreading, and episode 82 with Rejah Rehim is about automating the application test itself.

Advice to a younger self

Jon asked the show’s other standing question.

“If you could go back in time and meet a younger Alexis, would you take that opportunity?”

Jon McLachlan, at 27:28

Alexis would, he said, because a first startup brings a lot of failures and mistakes, and he would hand his younger self the list.

“here are the mistakes that you should learn from”

Alexis Lingad, at 27:57

Jon asked whether the younger Alexis would have listened. Alexis’s answer was that he questions what he is told, and that he would have tested his older self’s advice the same way before taking it.

“So I’m critically thinking of all of those things that is being fed to me.”

Alexis Lingad, at 28:27

Jon recognized the trait.

“Maybe that’s one of the things that drives us to be entrepreneurs, is like, we’re just skeptical that this is the way it has to be.”

Jon McLachlan, at 29:12

It is the founder’s version of the hacker’s curiosity from earlier. Both start by declining to believe that a system works the way it says it does.

A nuclear weapon and a kill switch

Sasha asked about the next milestones, for Alexis and for the company.

“What’s the next big milestone for you, Alexis, personally?”

Sasha Sinkevich, at 29:37

For himself, Alexis said, the milestone was to learn more, not fear mistakes, and connect with strategic advisors who could help him reduce the ways this could go wrong. He explained why with the starkest image in the episode.

“Because this is a very delicate thing, by the way, because it’s like I’m having a nuclear weapon within myself”

Alexis Lingad, at 30:20

If he forgot the kill switch, he said, it would hack a lot of people, and he called that outcome “some kind of apocalyptic thing.” His answer to that risk was people.

“So I really need to have this kind of strategic advisors and someone to talk to”

Alexis Lingad, at 30:47

The advisors are for the moments of doubt, he said, and for a founder holding a tool like this, those moments are the point.

Listen · Alexis on episode 97, from 30:19
About 35 seconds: Alexis on why he needs advisors around a tool this powerful. The clip stops on its own. Read the full transcript.

It is the right instinct, and it has a name. The two-person rule is “a control mechanism designed to achieve a high level of security” for especially critical material and operations, and the US Air Force uses it to keep any single person from launching a nuclear weapon (Wikipedia). For a security program, the everyday version is a second approver on any action that can’t be undone, from a production deletion to the start of an offensive test.

From a web app to a hotel door

For the company, Alexis laid out three phases.

“Phase one is the digital hacking, which is already in the market.”

Alexis Lingad, at 31:03

Phase two is physical hacking, IoT and critical infrastructure, and he had a case.

“We have a case where we hack a web application of a hotel, and then it is connected to an IoT management device that is controlling all of the doors, door keys and door codes and stuff like that.”

Alexis Lingad, at 31:12

From there, he said, the agent chained the exploit from the web to the IoT device to the doors, and could open and close them remotely. Electronic locks are built for that convenience. Wikipedia notes they “can also be remotely monitored and controlled, both to lock and to unlock” (Wikipedia). The feature that lets the front desk reissue a key from a screen is the one an intruder reaches by getting to that screen. Sasha took the practical view.

“You can tell me which hotel I should not stay next time.”

Sasha Sinkevich, at 31:39

Listen · Alexis and Sasha on episode 97, from 31:12
About 30 seconds: Alexis on chaining a hotel's web app to its door locks, and Sasha's question about where not to stay. The clip stops on its own. Read the full transcript.

The lesson for anyone running a building is that the door system is part of the network. It belongs in the same pen test scope as the web app that talks to it. Our companion post on IoT device security covers how to find devices like these and keep them apart from everything that doesn’t need to reach them.

Three boxes linked by arrows: the hotel's web application, an IoT management device for the doors, door keys and door codes, and a filled box, the doors, opened and closed remotely. Below: electronic locks can also be remotely monitored and controlled, both to lock and to unlock, per Wikipedia, and the door system is part of the network and belongs in the same test scope as the app that talks to it. Lines from the tape. Alexis: we have a case where we hack a web application of a hotel, and then it is connected to an IoT management device that is controlling all of the doors, door keys and door codes and stuff like that. Sasha: you can tell me which hotel I should not stay next time.
The hotel case as Alexis described it: a web app, an IoT management device, and the doors.

Phase three

Then came the third phase, the long-term vision from the start of the conversation.

“for the phase three, the creation of a god.”

Alexis Lingad, at 31:46

“That will be a sovereign-level weapon.”

Alexis Lingad, at 31:54

A cyberweapon, per Wikipedia, is commonly defined as “malware agents employed for military, paramilitary, or intelligence objectives,” and “Stuxnet is considered to be the first major cyberweapon” (Wikipedia). That is a different business from selling pen tests to companies, with different buyers and different rules, and Alexis described them as separate phases: a commercial product on the market today, and a sovereign vision that is still a plan. For a company deciding whether to buy a test, phase one is the part that matters, and the questions about scope, stopping and who uses the system are the ones to ask.

Three boxes linked by arrows. Filled, phase one, digital hacking, on the market. Phase two, physical: IoT and infrastructure. Dashed, phase three, a sovereign-level weapon. Below: a cyberweapon is commonly defined as malware agents employed for military, paramilitary, or intelligence objectives, per Wikipedia, and for a company buying a test, phase one is the part that matters. His lines underneath: phase one is the digital hacking, which is already in the market. For the phase three, the creation of a god. And: that will be a sovereign-level weapon.
KinoSec's three phases as Alexis described them, from digital to physical to sovereign.

The proudest moment

Jon asked the last of the show’s standing questions.

“What’s been the proudest moment in your entrepreneurial journey so far?”

Jon McLachlan, at 31:57

“Yeah, I had my first startup exit that is successful”

Alexis Lingad, at 32:02

He had made a lot of mistakes in it, he said. Jon asked how the hacker-tracking app had worked. Alexis said it was a long time ago, and that the underlying secret sauce had gone with the sale.

“that I think that’s the one that has been sold to the government agency that acquired it.”

Alexis Lingad, at 32:34

Jon summed it up: part of the acquisition, special IP and top secret. That is Alexis’s account, and we couldn’t find a public record of the acquisition or the buyer. Jon closed on the months ahead and all the new weapons technology coming out.

“Pretty exciting and pretty scary also.”

Alexis Lingad, at 33:06

Jon said he was glad Alexis was on the good side of it, and Sasha had the last word before the sign-off: “Just have to embrace it and enjoy the ride.”

What happened after the tape

On air. The episode aired on June 16, 2026, with the video on YouTube the same day, and Alexis reshared YSecurity’s announcement of it that day (LinkedIn).

A hands-on test. The next day Brian Harris, whose LinkedIn headline reads black team lead and chief instructor, posted that Alexis had let him run KinoSec’s AI “through its paces” to see how it compared with human pentesters (LinkedIn).

Pre-seed. On June 23 Alexis announced a $1 million pre-seed round at a $15 million valuation, naming Golden Gate Ventures, AI Tinkerers Fund and The Residency among the backers, under the line “Not a scanner. An operator.” (LinkedIn). KinoSec’s team page later recorded the round as $1.1 million.

DEF CON 34. On August 9 he posted that KinoSec had taken first place in the Hack The Box capture-the-flag at DEF CON 34 by letting the product “play and hack for us” (LinkedIn). KinoSec’s site says it solved 37 of 37 challenges and finished first against human teams (KinoSec). Capture the flag is, per Wikipedia, “perhaps the best known of these contests” at DEF CON (Wikipedia). These are KinoSec’s figures, and we didn’t find an independent scoreboard.

A comparison. On September 2 KinoSec published its own comparison with XBOW, Horizon3.ai, Pentera, Cobalt and Synack (KinoSec). It is a vendor’s comparison, written by the vendor.

An award. In September Alexis announced that KinoSec had been named Most Innovative Company of the Year 2026 at the Asia CEO Awards (LinkedIn), and he posted about it again on October 13 (LinkedIn). The team page lists it as a Circle of Excellence award at the 17th Asia CEO Awards (KinoSec).

A new front door. KinoSec’s homepage now leads with white-label autonomous pentesting for managed service providers, with Zeus for web apps, APIs and cloud and Poseidon for internal and external networks, and it lists “SOC 2 Type 1 in progress” (KinoSec). That is the strategy from the tape, pen testing firms and service providers first, now on the first screen of the site.

A timeline of eight entries. May 2026, recorded: Jon and Sasha talk with Alexis, a few weeks after KinoSec's benchmark post. June 16, 2026, aired: episode 97 goes out, with the video on YouTube, and Alexis shares it. June 17, 2026, tested: a tester posts about running KinoSec's AI against real human pentesters. Filled, June 23, 2026, pre-seed: Alexis announces 1 million dollars at a 15 million dollar valuation. Filled, July 24, 2026, throwback: he posts about quitting a job in Germany to build the product alone. Filled, August 9, 2026, DEF CON 34: he posts that KinoSec took first place in the Hack The Box capture-the-flag. Filled, September 2, 2026, comparison: KinoSec publishes its own comparison with five testing vendors. Filled, October 13, 2026, award: Most Innovative Company of the Year 2026, at the Asia CEO Awards.
What happened after the tape, from the air date to the award.

The part of the conversation that aged best is the plainest. A web-only test gives a web-only answer, and attackers chain whatever they find. Five months on, KinoSec’s own pitch has narrowed to that claim, sold through the firms that already do the work. The bigger plans are still Alexis’s account, and the safeguards Jon and Sasha pressed on, a written scope, a kill switch that works and care about who uses the system, are still the right questions for any vendor in this space.

Did you catch it? A six-question quiz

Six questions from the episode. Each answer links the moment in the transcript.

Quiz · six questions

Did you catch it?

Pick an answer for each. The explanation shows once you choose.

  1. How did Alexis describe what KinoSec set out to build?

    1. A faster web vulnerability scanner
    2. A god-level hacker that gathers intelligence on a target
    3. A phishing training platform for employees

    b. "we created, like, a god-level hacker" Transcript, 2:22.

  2. Why did KinoSec sell to pen testing firms first?

    1. They already know the tools, and want more customers without hiring more testers
    2. They were the only buyers allowed to use it
    3. Enterprises had already said no

    a. "So technically, they are the easiest ICP for us." Transcript, 6:59.

  3. What did the agent do after it used a client's email API key to get the admin email?

    1. Reported the key and stopped
    2. Sent internal phishing across the company
    3. Deleted the client's mailing lists

    b. "And then after getting the admin email, it sent internal phishing to all of the companies." Transcript, 25:12.

  4. What weak spot did Sasha raise about kill switches?

    1. They slow the test down too much
    2. Customers forget to turn them on
    3. Certain models don't honor them

    c. "But we know that certain models are not honoring kill switches." Transcript, 4:48.

  5. Asked for the biggest threat vector, what did Alexis bring up?

    1. Stuxnet, an attack on critical infrastructure from before today's AI
    2. Password reuse
    3. Ransomware gangs

    a. "Have you heard about the Stuxnet?" Transcript, 13:21.

  6. In the hotel case, what was the web application connected to?

    1. The hotel's payment terminals
    2. The guest Wi-Fi
    3. An IoT management device controlling the doors

    c. "and then it is connected to an IoT management device that is controlling all of the doors" Transcript, 31:16.

How much of the attack path does your pen test see?

Alexis’s test of a pen test was whether it follows the path an attacker would take or stops at the first surface. Eight questions on how far your testing goes.

Scorecard · eight questions

How much of the attack path does your pen test see?

Answer for your last pen test and your program as it runs today. If two answers fit, pick the lower one.

  1. What did your last pen test cover?

    • The main web app
    • Web apps and APIs
    • Web, APIs, cloud, networks and connected devices, in one scope

    "then they will have a false hope." See Beyond the web.

  2. When the testers found a leaked secret, like an API key, what happened next?

    • It went on the list of findings
    • They checked that the key was live
    • They tested what the key could reach, within scope, and reported the chain

    "it sent internal phishing to all of the companies." See One API key.

  3. Does the report chain findings together, or list them one by one?

    • A list of separate findings
    • A few findings linked by hand in the summary
    • Attack paths, with chaining and privilege escalation tried where allowed

    "So when we say realistic hacker, we will not limit ourselves with just vulnerability analysis." See A realistic hacker.

  4. Who wrote the scope, and who can stop the test?

    • Nobody wrote it down
    • The vendor wrote it, and we'd email to stop
    • We signed a written scope, and a named person has a tested way to stop the run

    "we have a scoping at the very, very beginning of every attack that we're doing." See A scope and a kill switch.

  5. Is phishing part of your testing?

    • No
    • A yearly awareness campaign
    • Yes, including mail that arrives from inside the company

    "Phishing is still a pretty successful way to get into the organization." See Cat and mouse.

  6. How often do you test?

    • Once a year or less
    • After major releases
    • Continuously, with a human-led test at least once a year

    "I think it will exponentially change in the next few months." See Months, not years.

  7. What does the report give your team?

    • A list of severities
    • Findings with a proof of concept
    • A proof of concept, the full path, and fixes your team can retest

    "they can also see in our platform how the hack works" See A realistic hacker.

  8. Do you know what your testing vendor does with data from your test?

    • No idea
    • It's somewhere in the contract
    • Yes, in writing, including whether it trains their models

    "we are also creating our own LLM called Skynet." See A model called Skynet.

Web only

Your testing sees the front door and little else. List every surface an attacker could start from, then scope the next test to follow a chain across them instead of stopping at the first one.

Partly chained

Some of the path is tested and some isn't. Add the surfaces your last test skipped, check what your exposed secrets can reach, and make sure a named person can stop any run.

The attacker's view

Your testing follows the path an intruder would take. Keep it frequent, keep people in the loop for the creative chains, and keep the scope and the stop switch tested.

What did your last test leave out?

Alexis gave no numbers for an average company, so the defaults below are round examples. Put in your own.

Calculator

What did your last test leave out?

Six counts: the web apps and APIs you run and how many your last pen test covered, the connected devices on your networks, like cameras, printers and door controllers, and how many it covered, and the API keys and other secrets in use and how many it checked for what they can reach.

–of web apps and APIs covered
–of connected devices covered
–of secrets checked for reach
–systems the last test never touched
–secrets nobody checked

Your last test covered 33% of your web apps and APIs and 0% of your connected devices, and checked 13% of your secrets for what they can reach. That leaves 68 systems and 35 secrets an attacker can try that no test has.

These defaults are examples, not figures from the episode. Alexis's point in Beyond the web was that a web-only test leaves "a false hope," and in One API key that a single secret can open the next surface. Count from your last report before you trust any total.

From the Hacker Games to DEF CON 34

Everything on this page sits on one timeline, from the first DEF CON to KinoSec’s award in October 2026. Filter it by thread.

Timeline · 1993 to 2026

From the Hacker Games to DEF CON 34

Filter by thread. Dates are from the public record except where marked as part of this show.

  1. The first DEF CON

    The hacker conference is first held in Las Vegas (Wikipedia, on this show).

  2. Palantir

    The data integration and analytics company Alexis compared KinoSec to is founded (Wikipedia, on this show).

  3. Stuxnet uncovered

    The worm that targeted industrial control systems is first uncovered (Wikipedia, on this show).

  4. An internship

    Alexis starts as a penetration tester intern at Garin Technologies in California (LinkedIn, on this show).

  5. Cryptors

    He founds his first company in Metro Manila, and wins the Philippine Hacker Games that year and again in 2017 (LinkedIn, on this show).

  6. Cyber Defender

    His book on his hacking journey comes out, per KinoSec's team page (KinoSec, on this show).

  7. Keys in the code

    A security firm finds hard-coded API keys in more than 300 of 16,000 Android apps (Wikipedia, on this show).

  8. Hackuna Anti-Hack

    The anti-hack app reaches more than a million users, and the company is named startup of the year, per KinoSec's team page (KinoSec, on this show).

  9. PUMA

    Alexis joins security at the PUMA Group, later on site in Germany (LinkedIn, on this show).

  10. ProSec

    He becomes a penetration tester at ProSec in Germany, until January 2026 (LinkedIn, on this show).

  11. KinoSec

    Alexis founds KinoSec (LinkedIn, on this show).

  12. Number one on XBOW

    KinoSec announces 103 of 104 challenges on the XBOW benchmark, by its own count (KinoSec, on this show).

  13. Next level Palantir

    Alexis posts about his pitch at The Residency and the endgame behind it (LinkedIn, on this show).

  14. The recording

    Jon and Sasha talk with Alexis, a few weeks after the benchmark post (on this show).

  15. Episode 97 airs

    The episode goes out, with the video on YouTube, and Alexis shares it (LinkedIn, on this show).

  16. Pre-seed

    Alexis announces a $1 million pre-seed round at a $15 million valuation (LinkedIn, on this show).

  17. Throwback

    He posts about quitting a job in Germany to build the product alone (LinkedIn, on this show).

  18. DEF CON 34

    KinoSec takes first place in the Hack The Box capture-the-flag, 37 of 37 by its own count (LinkedIn, on this show).

  19. A comparison

    KinoSec publishes its own comparison with five testing vendors (KinoSec, on this show).

  20. Most Innovative Company

    KinoSec receives the award at the 17th Asia CEO Awards (LinkedIn, on this show).

What to do this week

Five things, in the order Alexis’s argument suggests.

  1. Widen the scope. List every surface an attacker could start from: web apps, APIs, cloud accounts, networks and connected devices. If your last pen test covered only the first, scope the next one to follow a chain. The calculator above shows the size of the gap.
  2. Hunt your own keys. Scan code, builds and front-end bundles for API keys, rotate any you find, and cut each key down to the least it needs. Start with the keys that can send email.
  3. Test the inside of your inbox. Run a phishing test that arrives from an internal address, and check that your monitoring would notice a sending account behaving strangely.
  4. Ask your vendor four questions. Who wrote the scope, who can stop the run, has anyone tested that stopping works, and what from your test ends up in their models? The scorecard above covers the rest.
  5. Put the doors in scope. Inventory the IoT and building systems on your network, from cameras to door controllers, and keep them apart from everything that doesn’t need to reach them. If you’d like a hand with any of it, our penetration testing team and monitoring and response team can help, and you can book 15 minutes with us.

Key takeaways

  1. An offensive tool, by his own name

    Alexis describes KinoSec as what people call a cyber weapon, Palantir for offensive cyber operations: a god-level hacker that gathers intelligence on a target and hacks within the digital and physical realms. What companies buy from KinoSec today is an automated penetration test.

  2. Every attack starts with a scope

    KinoSec scopes every attack at the very beginning, checks whether the agent strays outside that scope, and keeps a kill switch so it doesn't hack the whole world. Sasha's caveat was that certain models don't honor kill switches.

  3. Ask what your test feeds

    KinoSec is building its own model, Skynet, named to remind the team what it is trying to prevent, and strategies from its commercial engagements feed that model. A buyer should ask any testing vendor what from the test ends up in a model.

  4. Sell first to the people who do the work

    Pen testing firms were the easiest first customer, Alexis said, because they already know the tools and want more customers without hiring more testers. Enterprises with their own security teams came next, starting with talks with Puma.

  5. A benchmark is the vendor's claim

    KinoSec reported 103 of 104 challenges on XBOW's web benchmark on May 7, 2026, and the tape's mention of it dates the recording. It is the company's own figure, on single web challenges rather than chained attacks.

  6. From a college report to a national title

    Alexis hacked his college, handed over a report to help, and was kicked out. He then founded his first startup, won the national hacking title twice, wrote Cyber Defender and built Hackuna Anti-Hack, which he describes as the first mobile app in the world that tracks hackers.

  7. The race moves in months, not years

    Sasha said new technology shrinks the margin of error in the long race between offense and defense. Alexis expects it to change exponentially in the next few months, with a flavor of AI in much of what is already happening.

  8. A web-only test gives false hope

    Stuxnet hit critical infrastructure before today's AI. Alexis wants web, networks, IoT, critical infrastructure and physical systems tested together and chained, because a company that tests only its web app can still be hacked through what the app connects to.

  9. A realistic hacker chains and escalates

    A realistic test doesn't stop at vulnerability analysis. It exploits, chains, escalates privilege and gathers context for the next surface, then delivers a report with a proof of concept and fixes, and a live view of the attack.

  10. The safeguards outside the model carry the weight

    Frontier models handle information gathering, exploitation and sometimes vulnerability analysis, in Alexis's account, and KinoSec runs its own model without limits for the deeper chaining. A model's refusal is one layer, so the scope, the switch and checks on who uses the tool matter most.

  11. One API key can become a phishing campaign

    In one engagement the agent found a client's API keys, used an email service key to get the admin email, and sent internal phishing to all of the companies. Competitors, Alexis said, would stop at the exposed keys.

  12. It is a cat and mouse game

    Sasha said a lot of money has gone into application security, but there are many other ways in, and phishing still works. The attacker is creative and fast, there is no perfect system, and there are always things nobody knows yet.

  13. A powerful tool needs advisors

    Alexis compared the tool to a nuclear weapon within himself and said forgetting the kill switch would be apocalyptic. His next personal milestone is to learn more and connect with strategic advisors he can talk to when he has doubts.

  14. The door system is part of the network

    In a hotel case, KinoSec chained the web application to an IoT management device controlling the doors, door keys and door codes, and could open and close the doors remotely. Building systems belong in the same test scope as the apps that talk to them.

  15. Three phases, one product on the market

    Phase one, digital hacking, is the product on the market. Phase two is physical hacking. Phase three, the creation of a god in Alexis's words, is a sovereign-level weapon, a plan rather than a product.

Chapters

Tap a chapter to play from there. The play icon beside it opens that moment on YouTube.

Pull quotes

“It's not really a cyber weapon, but, yeah, I mean, they call it a cyber weapon”

Alexis Lingad ·

“It's Palantir for offensive cyber operations.”

Alexis Lingad ·

“we created, like, a god-level hacker that can, what do you call this, gather intelligence for some specific target.”

Alexis Lingad ·

“when I was a kid, I wanted to become Batman. That's why I learned hacking.”

Alexis Lingad ·

“But they didn't like it, so I got kicked out.”

Alexis Lingad ·

“How do you balance the power behind the AI technology, especially when you chain it?”

Sasha Sinkevich ·

“we have a scoping at the very, very beginning of every attack that we're doing.”

Alexis Lingad ·

“Then usually it will have a kill switch in order to, you know, not hack the whole world.”

Alexis Lingad ·

“But we know that certain models are not honoring kill switches.”

Sasha Sinkevich ·

“But we are also creating our own LLM called Skynet.”

Alexis Lingad ·

“we're doing this to prevent Skynet.”

Alexis Lingad ·

“I'm sure you don't need to remind them. The name is very memorable.”

Sasha Sinkevich ·

“So technically, they are the easiest ICP for us.”

Alexis Lingad ·

“they can just have our tool in order to do it with just two, three, five people and have one thousand customers and stuff like that.”

Alexis Lingad ·

“Sports brand, my bad. Sports brand, of course.”

Jon McLachlan ·

“Well, I started this solo.”

Alexis Lingad ·

“Congratulations. That's an achievement.”

Sasha Sinkevich ·

“So I created my first startup, and then I became a national hacking champion twice.”

Alexis Lingad ·

“And this Hackuna Anti-Hack is the first mobile app in the world that tracks hackers.”

Alexis Lingad ·

“I think you can grow more if you're surrounded with people that is much, much, much, much smarter than you.”

Alexis Lingad ·

“And I got humbled a lot in there, which is really, really good experience.”

Alexis Lingad ·

“So, in order for us to counter that looming threat, we created the weapon first, and to counter them.”

Alexis Lingad ·

“I like it. It's very Cold War, like cloak and dagger.”

Jon McLachlan ·

“Just be careful who you let use the system, huh?”

Jon McLachlan ·

“I think it will exponentially change in the next few months. Not years, but few months.”

Alexis Lingad ·

“And imagine, that time, there's still not much of an AI, but they did it.”

Alexis Lingad ·

“It sounds cute.”

Alexis Lingad ·

“So we are also focusing on the physical hacking, drones, robotics, IoT and critical infrastructure and stuff like that.”

Alexis Lingad ·

“then they will have a false hope.”

Alexis Lingad ·

“So would you say that you are building a solution across all of the layers of security to prevent the lateral movement?”

Sasha Sinkevich ·

“I'm trying to leave space for implementation discussions.”

Sasha Sinkevich ·

“I think one of the hardest things is deciding to do this second startup”

Alexis Lingad ·

“It's just going to happen much more quickly. So things will get more intense.”

Jon McLachlan ·

“Yeah, I mean, sometimes I just wanted to become a villain, you know.”

Alexis Lingad ·

“I want to know what will happen if it breaks”

Alexis Lingad ·

“I'm always curious.”

Alexis Lingad ·

“when they see our logo, it's like the bat signal”

Alexis Lingad ·

“the one that is using it will be hacked first, so that we can really make sure that the users are not the high-profile threat themselves.”

Alexis Lingad ·

“we hack the client as just like a realistic hacker.”

Alexis Lingad ·

“So when we say realistic hacker, we will not limit ourselves with just vulnerability analysis.”

Alexis Lingad ·

“It's transparent.”

Alexis Lingad ·

“Be careful. Like, the governments are going to come around and declare eminent domain”

Jon McLachlan ·

“We are actually preparing for that.”

Alexis Lingad ·

“Yeah. Yeah. So that's why we have the Skynet.”

Alexis Lingad ·

“But, you know, digging deeper, chaining of exploit, escalating privileges, you need to do a lot of things in order to just do that.”

Alexis Lingad ·

“Will your product social engineer its way into the systems?”

Jon McLachlan ·

“And then after getting the admin email, it sent internal phishing to all of the companies.”

Alexis Lingad ·

“Yeah, that's social engineering. And my God, that's like spear phishing.”

Alexis Lingad ·

“There are so many other ways to infiltrate the organization.”

Sasha Sinkevich ·

“Phishing is still a pretty successful way to get into the organization.”

Sasha Sinkevich ·

“And there are some solutions that are meant to protect, but this is a cat and mouse game.”

Sasha Sinkevich ·

“I can guarantee you there are things that we don't know.”

Sasha Sinkevich ·

“Maybe that's one of the things that drives us to be entrepreneurs, is like, we're just skeptical that this is the way it has to be.”

Jon McLachlan ·

“Because this is a very delicate thing, by the way, because it's like I'm having a nuclear weapon within myself”

Alexis Lingad ·

“Phase one is the digital hacking, which is already in the market.”

Alexis Lingad ·

“You can tell me which hotel I should not stay next time.”

Sasha Sinkevich ·

“That will be a sovereign-level weapon.”

Alexis Lingad ·

“Pretty exciting and pretty scary also.”

Alexis Lingad ·

“Just have to embrace it and enjoy the ride.”

Sasha Sinkevich ·

About the guest

Alexis Lingad, Founder and Chief Executive Officer, KinoSec

Alexis Lingad is the founder and CEO of KinoSec, which he started in February 2026 to build autonomous offensive security, software agents that attack a customer's systems the way a real intruder would, with permission. He interned as a penetration tester at Garin Technologies in California from November 2013, founded Cryptors in Metro Manila in April 2015, won the Philippine Hacker Games in 2015 and 2017, wrote the book Cyber Defender and built Hackuna Anti-Hack, an app he describes as the first in the world to track hackers. From March 2020 he worked in security at the PUMA Group, first remotely and then on site in Germany, and from December 2024 to January 2026 he was a penetration tester at ProSec in Germany. KinoSec is backed by The Residency in San Francisco, announced a $1 million pre-seed round in June 2026 and, by its own account, took first place in the Hack The Box capture-the-flag at DEF CON 34. On the episode, recorded in May 2026 and published that June, he describes a god-level hacker, KinoSec's own model, selling to pen testing firms first and chaining attacks from web apps to IoT devices and door locks.

About the host

Jon McLachlan and Sasha Sinkevich are co-founders of YSecurity, the on-demand cybersecurity team for startups, and of Cyberbase.ai. The Security Podcast of Silicon Valley is hosted by Jon McLachlan and Sasha Sinkevich. Jon McLachlan on LinkedIn ↗Sasha Sinkevich on LinkedIn ↗

Context and sources

  • Alexis Lingad on LinkedIn: founder and CEO of KinoSec since February 2026, penetration tester at ProSec in Germany from December 2024 to January 2026, security at the PUMA Group from March 2020, founder of Cryptors in Metro Manila from April 2015 to January 2020, Philippine Hacker Games champion in 2015 and 2017, and a penetration tester intern at Garin Technologies from November 2013. Source ↗
  • KinoSec: white-label autonomous pentesting for managed service providers, Zeus for web apps, APIs and cloud, Poseidon for internal and external networks, first place in the Hack The Box capture-the-flag at DEF CON 34 with 37 of 37 challenges, code fixes as draft pull requests that KinoSec never merges, and SOC 2 Type 1 in progress. Source ↗
  • KinoSec, team page: the company's own timeline, from the Philippine Hacker Games in 2015 and the book Cyber Defender to Hackuna Anti-Hack passing a million users in 2018, a pre-seed round of $1.1 million and an award at the 17th Asia CEO Awards in 2026. Source ↗
  • KinoSec, KinoSec Becomes the #1 Autonomous Pentesting Platform in the World based on XBOW Benchmark, May 7, 2026: 103 of 104 challenges, a 99.04% success rate, with XBOW's own result put at 85%. Source ↗
  • KinoSec, its comparison with XBOW, Horizon3.ai, Pentera, Cobalt and Synack, September 2, 2026. Source ↗
  • Alexis Lingad on LinkedIn, late May 2026: a pitch at The Residency, and an endgame he called next level Palantir. Source ↗
  • Alexis Lingad on LinkedIn, June 3, 2026: some kids wanted to be astronauts, he wanted to be Batman, and Project Hades. Source ↗
  • Alexis Lingad on LinkedIn, June 16, 2026: sharing YSecurity's announcement of episode 97. Source ↗
  • Brian Harris on LinkedIn, June 17, 2026: running KinoSec's AI through its paces against real human pentesters. Source ↗
  • Alexis Lingad on LinkedIn, June 23, 2026: a $1 million pre-seed round at a $15 million valuation. Source ↗
  • Alexis Lingad on LinkedIn, July 24, 2026: quitting a job in Germany to build the product alone, because real attackers don't stop at the web app. Source ↗
  • Alexis Lingad on LinkedIn, August 9, 2026: KinoSec takes first place in the Hack The Box capture-the-flag at DEF CON. Source ↗
  • Alexis Lingad on LinkedIn, September 11, 2026: KinoSec named Most Innovative Company of the Year 2026 by the Asia CEO Awards. Source ↗
  • Alexis Lingad on LinkedIn, October 13, 2026: the Most Innovative Company of the Year 2026 award. Source ↗
  • Resend: email for developers, built to deliver transactional and marketing emails at scale. Source ↗
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Transcript

Automatic transcription. Jon McLachlan and Sasha Sinkevich host this episode with Alexis Lingad. There is no diarization on the tape, and Jon's and Sasha's voices are close, so speaker labels were assigned from the content and checked passage by passage against reference recordings of each voice from this episode and by pitch, and a few short lines may sit with the wrong speaker. The sponsor reads at the start and end are summarized in brackets. Names and product names were normalized where the recognizer misheard them (Jon McLachlan, Sasha Sinkevich, Alexis Lingad, KinoSec, XBOW, Quoc, Hackuna Anti-Hack, Impact Hub, Resend, Grok, YSecurity), as was one term the recognizer misheard (phishing). Words in [brackets] are best guesses where the audio is unclear. Answers are transcribed as spoken, with repeated words and false starts trimmed. Short backchannels such as "yeah", "yes" and "mm-hmm" are left out where they overlap the other speaker.

Read the full transcript 5,123 words

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Jon McLachlan

Hello, everyone, and welcome to another episode of The Security Podcast of Silicon Valley. I'm one of your hosts, Jon McLachlan. I'm joined with the other host, Sasha Sinkevich.

Sasha Sinkevich

Greetings, everyone.

Jon McLachlan

And today we have an amazing guest, Alexis Lingad, who is the founder and CEO of KinoSec.

Alexis Lingad

Yes, yes.

Jon McLachlan

Welcome to the show, Alexis.

Alexis Lingad

Thank you. Thank you for having me.

Jon McLachlan

Thanks for joining us. Would you like to share with all of our listeners, like, what have you been up to over there at KinoSec?

Alexis Lingad

Yeah, currently we're in SF, and we just built, like, the cyber weapon. It's not really a cyber weapon, but, yeah, I mean, they call it a cyber weapon that can, you know, be the next [Palantir] that takes action and then take the bad guys out or neutralize high-profile threats within the world. So it's mostly [Palantir] for offensive cyber operations. It's Palantir for offensive cyber operations. It's a cyber weapon.

Jon McLachlan

Expand on that a little bit. Like, how, what does that mean? How does it work?

Alexis Lingad

Yeah, so basically, we created, like, a god-level hacker that can, what do you call this, gather intelligence for some specific target. And after that, we have what we call these capabilities to hack within the digital, within the physical realm. And we use those capabilities in order to neutralize those operations of the high-profile threats. Like, for example, if there's terrorists, we hack them regarding their financials, in order to stop all of those things, or with the making them bad with the social and stuff like that, or just to, you know, make their lives miserable and stop operating in this specific country of the one who purchased our product.

Sasha Sinkevich

And this has a potential of being very impactful tool. Can you tell us what prompted you to create the product and the company behind it?

Alexis Lingad

Yes, yes. So, when I was a kid, I wanted to become Batman. That's why I learned hacking. And then when I was in college, I hacked my college and gave them the report of how I hacked in so that I can help them. But they didn't like it, so I got kicked out.

Jon McLachlan

And what college was that?

Alexis Lingad

Yeah, yeah. I mean, I cannot tell it in here. Yeah, I mean, it's basically...

Sasha Sinkevich

We can't talk about [it], yeah. You mentioned something. This is a very powerful tool, and I just want to double-click. With the adoption of AI, people start talking about the governance and the impact on the human life. How do you balance the power behind the AI technology, especially when you chain it? And I imagine this is one of the things that you guys do: you chain multiple agentic executions, you add very explicit context. How do you balance the impacts that can be produced by the agents and the safeguards?

Alexis Lingad

Oh, yeah. So basically, we have a scoping at the very, very beginning of every attack that we're doing. And whenever we already have a scope, we go with that and then see all of the attack surfaces within, and check if we're going outside of that specific attack surface. Then usually it will have a kill switch in order to, you know, not hack the whole world.

Sasha Sinkevich

But we know that certain models are not honoring kill switches. And if you open to talk about the models that you're using, the high-level technology, I think it would be very interesting to discuss it.

Alexis Lingad

Yeah, yeah. So technically, in the background that we have, we are using a lot of models for certain specific tasks. But we are also creating our own LLM called Skynet. I mean, forget about the name. It's just an internal naming that we have so that we can remind our team that, hey, we're doing this to prevent Skynet.

Sasha Sinkevich

I'm sure you don't need to remind them. The name is very memorable.

Alexis Lingad

Yes, yes. So, yes, this one is the one that is, you know, continuously feeding the god-level hacker that we have in all of the commercial things that we're currently doing, like, for example, offering the AI pen test to a lot of enterprise companies and stuff like that. So all of the strategies that our AI agents is doing in there is being [fed] in this Skynet LLM, in order for it to be much more intelligent and continuously learning a lot of other things, so that, yeah, it will be much more powerful when it comes to hacking. So, yeah, that's what we are using right now.

Sasha Sinkevich

And you said a very interesting word in your answer. That word is enterprise.

Alexis Lingad

Yes.

Sasha Sinkevich

We know that enterprise customers are looking to adopt AI technology, but the technology we're discussing here is very different. It has abilities and capabilities to find areas of exposure that some might argue should never be found. Others would argue it's much better that you find it than someone else. How do you find traction with enterprise customers?

Alexis Lingad

Yeah, so we started with the pen testing companies, because this pen testing or security testing or hacking companies already know what we're building or already know the tools. So technically, they are the easiest ICP for us. While, in order for them to have more revenue, more profit, more customers without hiring more pen testers, they can just have our tool in order to do it with just two, three, five people and have one thousand customers and stuff like that. And after the pen testing, or, you know, the security team within the pen testing company, we're also providing this to enterprise that has a security team inside. As of now, we are in talks with Puma, and the CISO of Puma just joined us as an advisor also, that will connect us to other CISOs within the Europe.

Jon McLachlan

Nice. That's the fashion brand, right?

Alexis Lingad

Sports brand. Yeah.

Jon McLachlan

Sports brand, my bad. Sports brand, of course.

Alexis Lingad

There is some time that they become a fashion brand, I think around 2010, [or] something, but it didn't work out, so they go to sports brand again. I think they're in the top three sports brand, top four, five.

Jon McLachlan

No, I love it. And that's real traction. That's like, you know, selling to a real company that is not just a tech company. You're not just part of the tech bubble or ecosystem, and being able to close deals with that type of customer, that's a huge positive signal as an entrepreneur. And, you know, like, being an entrepreneur, especially in this day and age, when things are changing so fast and they're changing at an increasing rate, you have to be a little bit crazy to step in and say, okay, we're going to build this thing, and really start from nothing. So what's your story? How'd you get off the ground? You just saw all of these great tools and you put them together and you said, this is a product and we can build a company around this? Or what's the founding story there?

Alexis Lingad

Well, I started this solo. And then when we became the number one in XBOW, and a lot of other traction that we got, then I hired a CTO, which is Quoc, and then COO, which is [Arne], and then a lot of other people afterwards.

Sasha Sinkevich

Did you raise?

Alexis Lingad

Yes, yes, yes. Yes.

Sasha Sinkevich

Congratulations. That's an achievement.

Alexis Lingad

Yeah, yeah. Especially if [you're in] SF, it's like very, very fast when it comes to [raising]. So, yeah, I mean, to answer your question, how it started, how it all started, it's like, because this is my second startup, by the way. The first startup that I have is, after I got kicked out, I mean, no one wants to hire me. So I created my first startup, and then I became a national hacking champion twice. And then I authored a book called Cyber Defender, which told all of my crazy story on how I started hacking. And then I created a lot of products but failed. But there's one product in my first startup that succeeded, which is Hackuna Anti-Hack. And this Hackuna Anti-Hack is the first mobile app in the world that tracks hackers. And it gained millions of users worldwide. And after 2018, we became the startup of the year by Impact Hub. And then in 2020, successfully exited that company. And then after that, there's one month that I tried to retire, but it gets boring. So I went to Germany, and, yeah, I'm in work as an ethical hacker, dig deeper, surround myself with smarter people when it comes to ethical hacking. So, you know, I will grow more, because, you know, I think you can grow more if you're surrounded with people that is much, much, much, much smarter than you. And I got humbled a lot in there, which is really, really good experience. So, in order for us to counter that looming threat, we created the weapon first, and to counter them. I mean, it's like a cybersecurity arm race that they are telling. So, yeah.

Jon McLachlan

I like it. It's very Cold War, like cloak and dagger.

Alexis Lingad

Yeah.

Jon McLachlan

Just be careful who you let use the system, huh?

Alexis Lingad

Yes, of course, of course. I think this past few days I talked with an ex-Pentagon guys, and then they're connecting me with the NSA and a lot of other stuff. And I got an investor that worked with CIA. So it's [cool, so] I'm getting their attention.

Sasha Sinkevich

And one would argue that the race that you mentioned, the, what's it called, cybersecurity offensive and defensive race, it's not a new concept. It's been going on for as long as the internet existed. But we can agree that with the adoption of new technology, let's not call out specific acronyms, but a new technology accelerates that race, and the margin of error becomes much smaller, because the time to iterate over a new tool becomes much shorter. Where do you see this race going forward? How will it evolve? How will it develop? What do you see, the next big news that will make all of us awe and be shocked?

Alexis Lingad

I think it will exponentially change in the next few months. Not years, but few months. Because with the progress of the continuous learning and self-learning stuff that a lot of startups is doing, a lot of continuous learning, you know, and there's a lot of buzzword regarding that, but there's a lot of things that is really working on that. So with that, it's exponential. And if ever that there are some people that really focus on this one, like for, like, our team, and, like, maybe the other bad guys and stuff like that, then, yeah, as of now, you can already see it. Like, every day, there's a lot of big [breaches] that is happening, almost every day. Most of them are causing by some, what do you call this, some AI agents, and a lot of, there's a flavor of AI in there. And, yeah, if ever that...

Sasha Sinkevich

What's the biggest threat vector based on your experience?

Alexis Lingad

Have you heard about the Stuxnet? Yes, yes. So that specific attack is specialized in targeting the critical infrastructure. And imagine, that time, there's still not much of an AI, but they did it. And now that we have AI that can exponentially empower all of those things, imagine, imagine what it can be done, and imagine what those bad guys can do with this kind of weapon. That's why we are really, really speeding up in this mission that we're having, because it's happening. That's why we're not just focusing on the typical web. I mean, all of the competitors that we have, focusing on the web and the network and stuff like that. It sounds cute. So we are also focusing on the physical hacking, drones, robotics, IoT and critical infrastructure and stuff like that. And we are chaining all of those attack surfaces so that we can really, you know, have a realistic approach on how a real hacker or a real bad guy can hack them. Because if they don't have that kind of, what do you call this, reality or perception or view of how a real bad hacker will hack them, then they will have a false hope. Like, for example, a competitor is just focusing on the web, and they say, hey, you're securing your web, but what if the IoT that is within your, that is exposed in the public, or a network server that is exposed in public, that is connected to your web, can make your web vulnerable? Then you can still be hacked. So it is really becoming rampant, and that's why we're speeding up.

Sasha Sinkevich

So would you say that you are building a solution across all of the layers of security to prevent the lateral movement?

Alexis Lingad

Yes, that's what we're trying to do.

Sasha Sinkevich

That's a good thing. We should add it to your pitch.

Jon McLachlan

I'm so curious, Sasha, why you didn't want to say AI earlier in your conversation, like in your question. Like, you didn't want to say the words AI. You were avoiding it because, like, is it stigma?

Sasha Sinkevich

I'm trying to leave space for implementation discussions. And I feel like just throw an AI and LLM, SLM, embeddings, all of those keywords, it's often diluting the focus of the discussion. But clearly, these days, all of the modern technology stacks, you have to, [it's made of money], and its name is AI.

Jon McLachlan

Alexis, though, like, you've been through a lot, but I'm really curious, if you would pick one thing that was the hardest thing that you've ever done in your entire life, like, what would that one thing be?

Alexis Lingad

Hardest thing you've ever done? Hardest. I think one of the hardest things is deciding to do this second startup, because I know that if we successfully create the most powerful cyber weapon in the world, then a lot of government, a lot of countries will try to control me or take it. Or, I mean, or take it. Take it. Yeah. Or maybe kill me or something.

Jon McLachlan

Well, let me ask you a question. Like, you must have considered, like, this is a, you describe this as a war, you know, a cybersecurity information war. It is a war. I think everything that was going to happen is still going to happen. It's just going to happen much more quickly. So things will get more intense. And you must have considered the other side.

Alexis Lingad

Yeah.

Jon McLachlan

But you went to Germany, you had some conversations, it was really humbling, and you ended up on the good guy's side.

Alexis Lingad

Yeah, I mean, sometimes I just wanted to become a villain, you know. Back then, when I was a kid, I mean, there's a lot of people that make the hacker like the villain. But I'm [really look at things] with, like, with the knowledge that comes from, you know, when you're hacking, you need to think out of the box always, and you need to be different whenever you're putting all of your strategy together. And when I was a kid, you know, I'm always different. Like, they like to, you know, do this normal thing, but for me, I want to know what will happen if it breaks, and/or what will happen if I do this and such like that. I'm always curious. And, you know, there's a lot of, what do you call this, like, bad things that is happening whenever you are, bad sayings that you will attract if ever that there's a lot of people that will see that.

Sasha Sinkevich

Yeah, people who don't understand, like, they make fun of us, right?

Alexis Lingad

Yeah, yeah.

Jon McLachlan

So, say things that are not nice.

Alexis Lingad

Yes.

Jon McLachlan

Let's look into the future for a second. So I'll let you decide how far into the future you would like to travel for this exercise. But when you look into the future, Alexis, like, what does success look like for KinoSec and for yourself?

Alexis Lingad

Great question. Great question. You know, imagine a world where, you know, when they see our logo, it's like the bat signal, where, yes, where every high-profile threat, high-profile criminal, when they see that it is existing in that specific country, that it is protected by KinoSec, that it has the logo of KinoSec, they will feel fear. They will be in tremble, because our hacker is like a god. It's like, you know, all-knowing. Like, it can hack a lot of everything within that specific organization. They will know everything. And from there, we are creating a new world. It's like a new world that has less crime, and much better for the next generation. And, yeah, I mean, that's the world that I am envisioning. And hopefully that specific weapon will be autonomous and cannot be controlled by, you know, by some evil people. So what we're trying to do in there is, if ever that there's someone using it, the one that is using it will be hacked first, so that we can really make sure that the users are not the high-profile threat themselves.

Sasha Sinkevich

I want to double-click into something. You said something that made me think something different about the product, and I want to clarify. Are you envisioning a product that will go after the attacker, or its main purpose is to identify vulnerabilities across all of the layers? Or maybe it's a staged approach, where you build a system that helps to identify exploits across all of the layers of the security. We talk about application, infra, corporate, and make sure there is no lateral movement exploit. And then maybe later you envision the add-on or a logic that will try to reverse hack into the initial attack.

Alexis Lingad

So basically, to make everything clear, or simple, we hack the client as just like a realistic hacker. So when we say realistic hacker, we will not limit ourselves with just vulnerability analysis. We will exploit it, chain the exploit, escalate privilege, and see if we can gain more exploit, and see if we can have much more context of the other attack surface, so that we can have more exploit in different attack surfaces. And that's how a realistic hacker do this kind of thing. And that's the value that we are providing in the enterprises, that, hey, this is how the bad guys will hack you. And here, this is the report. And we give the report to them, the POC, and they can also see in our platform how the hack works, so they can watch it live, hacking. So that's one of the most entertaining part for our clients, by the way. And, you know, all of the things that you're seeing in the movie, where it's escalated, it add user, it deleted some kind of things, stuff like that, or it, you know, it escalated a privilege. All of those things, they can see it. It's transparent. And in the report, they can see also some fixes in there that they can put. We also help them fix all of those things and stuff like that.

Jon McLachlan

Be careful. Like, the governments are going to come around and declare eminent domain, which is like, they have the right to the property, and they'll just buy it, and they'll force it. You know, it's the same rules that they use to [buy land].

Alexis Lingad

We are actually preparing for that.

Jon McLachlan

You're preparing for eminent domain acquisition?

Alexis Lingad

Yes, because, what do you call this...

Jon McLachlan

Wow. Especially the way you talk about it, it's very military technology. It's very...

Alexis Lingad

We're preparing for all of those things, because, yeah, once we enter this domain, we all know that there's a lot of looming threats regarding those kind of things. And we prepared something for that.

Jon McLachlan

Okay, well, that's good. Another question that crosses my mind is that all of these LLMs, they have guardrails, and there's safety programs and AI safety programs and very rigorous terms of service, and now there's that ISO 42001 standard. And everyone is like, let's play, let's play nice, let's play by the rules. Here's the rule book. How does your software get around that? Because clearly, like, breaking into systems is not part of the, it's an okay use in terms of their terms of service for Anthropic and OpenAI. So how does that work?

Alexis Lingad

Yeah. Yeah. So that's why we have the Skynet.

Jon McLachlan

Okay.

Alexis Lingad

Yeah, I mean, it's purely without limits and without anything, without [guardrails] and stuff like that. And we can do a lot of things in that. So that's why we are having those kind of things for specific chain of exploit and digging deeper and stuff like that. Because for frontier LLMs, they can do information gathering, exploit and sometimes vulnerability analysis. But, you know, digging deeper, chaining of exploit, escalating privileges, you need to do a lot of things in order to just do that.

Sasha Sinkevich

So I imagine you use, this is my educated guess, use models similar to Grok that don't have those built-in guardrails. And you probably fine-tune further with additional context based on your expertise and experience that [team] has.

Alexis Lingad

Yes, yes. And a bunch of other models that are pretty open.

Jon McLachlan

Will your product social engineer its way into the systems?

Alexis Lingad

Well, we have this case that our AI agent hacked the web application of our client and then get all of the API keys of that specific client. And one of those API keys is Resend API key. And then our AI agent used that Resend API key in order to get the admin email. And then after getting the admin email, it sent internal phishing to all of the companies. And I think, I think that's, you can say social engineering. Yeah, that's social engineering. And my God, that's like spear phishing. Yeah, that's what I am telling a while ago, that we are not just a web pen testing company. It's like an all attack services, like giving the real value, because all of the competitor, they will just stop in the, okay, expose API keys. That's it.

Sasha Sinkevich

And it makes sense, right? Because in the last five to ten years, there's been so much money poured into the application layer security. There are a lot of, arguably, there are a lot of good solutions out there, and should you adopt them fairly, you have a good coverage. But the security of the organization is so much more than the application layer or the web entry point. There are so many other ways to infiltrate the organization. And some of those things you talked about. You talked about the networks, you talked about the IoT devices that might be on the network that then would allow you to do lateral movement. Phishing is still a pretty successful way to get into the organization.

Alexis Lingad

Yes, yes.

Sasha Sinkevich

And there are some solutions that are meant to protect, but this is a cat and mouse game.

Alexis Lingad

Yes.

Sasha Sinkevich

The attacker is always very creative and tends to move a lot faster than the defense against that attack. So, in other words, you much rather be the friends with the attacking force that has all of the knowledge and expertise in order to avoid your controls that meant to protect, and still find the gaps. Because there is one thing that we know for sure: there is no such thing as utopia, there is no such thing as a perfect system. And with the complexity of systems that we build today, and with all of the changes in supply chain, it's quite feasible that there is something that is not known. I can guarantee you there are things that we don't know.

Jon McLachlan

If you could go back in time and meet a younger Alexis, would you take that opportunity? And if you would, what advice would you have for your younger self?

Alexis Lingad

Yeah, I think I will take that opportunity, because whenever you start your first startup, you will have a lot of failures, or you will have a lot of mistakes, right? And I will go back and then tell my little self that, hey, here are the mistakes that you should learn from, or so that you will not do that when you started your first startup, and your, a lot of other things.

Jon McLachlan

But would your younger self listen to your older self, or were you a rebellious skeptical?

Alexis Lingad

Well, you know, I was a father of a pastor, and a lot of them just listen on what the Bible says. But for me, I am critically thinking. So I'm critically thinking of all of those things that is being fed to me. So technically, if ever that my future self fed that kind of information to me, then I will critically think also if this makes sense. If this makes sense, then probably, yeah, I will listen to myself. But, yeah.

Jon McLachlan

Interesting, interesting, interesting. I appreciate good skepticism, and I appreciate a good mistake too, because you really learn from it. Like, and it's like one of the best ways to learn. And if I went back and I met my younger self and I gave a whole bunch of, like, things to watch out for, I know myself. Like, I would be very skeptical of my future self, just like I would be skeptical of anyone. Maybe that's one of the things that drives us to be entrepreneurs, is like, we're just skeptical that this is the way it has to be. And so, like, let's fix it and let's change things and let's make things better, and, like, let's build new systems, new weapons systems to, like, accelerate everything that's about to happen. Just help it along, help it move on faster. Right.

Sasha Sinkevich

What's the next big milestone for you, Alexis, personally? And what's the next big milestone for the company?

Alexis Lingad

Yeah, I mean, for me, the big milestone, I guess, is for me to learn more, explore more, and learn more, and, you know, do some, you know, don't be afraid to have some kind of mistakes and grow more when it comes to this kind of area and stuff like that. And maybe connect more to a lot of people, strategic advisors and stuff like that. And, what do you call this, in order for me to, you know, really reduce the things that can make this go wrong. Because this is a very delicate thing, by the way, because it's like I'm having a nuclear weapon within myself that if I just put here and forgot to have the kill switch in there, then it will hack a lot of people and then hack their banks, make them zero, transfer to my bank, and a lot of other stuff. So, you know, it is some kind of apocalyptic thing if ever that I made this wrong decision. So I really need to have this kind of strategic advisors and someone to talk to whenever, you know, I'm having doubts and stuff. And maybe, yeah, learn more. And for the company, the next milestone is for us, because we have phase one, phase two and phase three. Phase one is the digital hacking, which is already in the market. And phase two, the physical hacking. We already had the IoT, critical infrastructure. We have a case where we hack a web application of a hotel, and then it is connected to an IoT management device that is controlling all of the doors, door keys and door codes and stuff like that. And then we successfully chained the exploit from web to IoT to those doors, and control it, and open door, open the doors and close the doors and stuff like that remotely.

Sasha Sinkevich

After the show, maybe we can connect. You can tell me which hotel I should not stay next time.

Alexis Lingad

Yeah, yeah, yeah, yeah. I will tell you. I will tell you. And then, yeah, for the phase three, yeah, phase two is the next one, but for the phase three, the creation of a god. That's what I told you a while ago. That will be a sovereign-level weapon.

Jon McLachlan

What's been the proudest moment in your entrepreneurial journey so far?

Alexis Lingad

Yeah, I had my first startup exit that is successful, even though I, you know, I did a lot of mistakes in there. Yeah, I mean...

Jon McLachlan

That's the hacker-tracking thing, right? How did you track the hackers? How did that work?

Alexis Lingad

Well, what it call this, there's a lot of things back then. I mean, it's very long time ago. But from there, there's an underlying, what do you call this, secret sauce for that, that I think that's the one that has been sold to the government agency that acquired it.

Jon McLachlan

I see. So it's like, it was, is part of the acquisition, and a special IP, and it's top secrets.

Alexis Lingad

Yes, yes, yes.

Jon McLachlan

All right, that's fair. Very cool. Super interesting. Thank you so much for all of the vulnerability and the shares.

Alexis Lingad

Yes.

Jon McLachlan

It's going to be an interesting next couple of months and next couple of years, for sure.

Alexis Lingad

Yes.

Jon McLachlan

All this new weapons technology coming out.

Alexis Lingad

Pretty exciting and pretty scary also.

Jon McLachlan

Well, both at the same time, right? Like, sort of super exciting, super scary, super good. So I'm super glad that you're on this side of the fence.

Sasha Sinkevich

Just have to embrace it and enjoy the ride.

Jon McLachlan

Yes, yes. It's not about a destination, it's about the journey. So here we go. Okay, well, thank you to all of our listeners for tuning in to another episode of The Security Podcast of Silicon Valley. [I'm] one of the hosts, Jon McLachlan, joined with Sasha Sinkevich, the other host. Thanks, everyone, for joining in. And our amazing guest, Alexis Lingad, the founder and CEO of KinoSec, the new weapons technology. So stay tuned and be on the lookout for those new hackers, all of the agentic bots flying around. If you listened to this show and you found it useful, found it interesting, please share it with your friends, and write us comments and feedback, most appreciated, if you feel it's so warranted. And please stay tuned for another episode of The Security Podcast of Silicon Valley. This has been a YSecurity production. Thank you, everyone. Thank you, thank you.

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FAQ

Questions this episode answers

Who is Alexis Lingad?
Alexis Lingad is the founder and CEO of KinoSec, a San Francisco startup building autonomous offensive security. He founded Cryptors in Metro Manila in 2015, won the Philippine Hacker Games in 2015 and 2017, built the Hackuna Anti-Hack app, worked in security at the PUMA Group and as a penetration tester at ProSec in Germany, and founded KinoSec in February 2026. He came on episode 97 of The Security Podcast of Silicon Valley, published June 16, 2026.
What is KinoSec?
KinoSec builds autonomous AI agents that attack a customer's systems with permission, the way a real attacker would, chaining weaknesses across web apps, APIs, cloud, networks, IoT and physical systems. Its homepage now leads with white-label autonomous pentesting for managed service providers.
When was the episode recorded?
In May 2026. Alexis mentions KinoSec becoming number one on the XBOW benchmark, which the company announced on May 7, 2026, and the episode aired on June 16, 2026.
How does KinoSec keep an autonomous attack in bounds?
Every attack starts with a scope. The agent works within the attack surfaces in that scope, checks whether it is going outside them, and there is a kill switch so it doesn't hack the whole world. Sasha noted that certain models don't honor kill switches.
What is Skynet at KinoSec?
KinoSec's own model, named, Alexis said, to remind the team that it is working to prevent Skynet. Strategies from its commercial engagements feed the model so it keeps learning.
Who were KinoSec's first customers?
Pen testing companies, which already know the tools and want more customers without hiring more testers. Enterprises with their own security teams came next, and Alexis said KinoSec was in talks with Puma.
What was KinoSec's XBOW benchmark result?
KinoSec announced on May 7, 2026 that it solved 103 of 104 challenges, a 99.04% success rate, on a benchmark of web security challenges published by XBOW, and put XBOW's own result at 85%. These are KinoSec's figures, not an independent test.
What was Hackuna Anti-Hack?
An app from Alexis's first startup, which he describes as the first mobile app in the world that tracks hackers. On the tape it gained millions of users. KinoSec's team page says it passed a million users in 2018.
Why did Alexis bring up Stuxnet?
As the biggest threat vector he sees: an attack on critical infrastructure carried out before today's AI. His point was that AI can now exponentially empower that kind of attack.
Why test more than the web app?
Because attackers chain surfaces. An exposed IoT device or network server connected to a web app can make the app vulnerable, so a company that tests only the web, in Alexis's words, will have a false hope.
What does a realistic hacker do that a scanner doesn't?
It exploits what it finds, chains the exploits, escalates privilege and gathers context to attack other surfaces. KinoSec's customers get a report with a proof of concept and fixes, and can watch the attack live in the platform.
How does KinoSec get around model guardrails?
With its own model, Skynet, which Alexis said runs purely without limits, and other open models fine-tuned with the team's experience, as Sasha guessed. Frontier models, he said, can do information gathering, exploitation and sometimes vulnerability analysis, but the deeper chaining takes much more.
Can an AI pentest agent social engineer its way in?
In one case Alexis described, the agent hacked a client's web app, collected its API keys, used an email service key to get the admin email and sent internal phishing to all of the companies, which he called social engineering and spear phishing.
What did Sasha mean by a cat and mouse game?
That defenses exist, but the attacker is creative and moves faster, so a company is better off as friends with an attacking force that can get around its controls and still find the gaps. There is no perfect system.
What are KinoSec's three phases?
Phase one is digital hacking, already on the market. Phase two is physical hacking, IoT and critical infrastructure, including a hotel case where the agent chained a web app to the door locks. Phase three, in Alexis's words, will be a sovereign-level weapon.
What happened to KinoSec after the episode?
Alexis announced a $1 million pre-seed round at a $15 million valuation on June 23, 2026, KinoSec took first place in the Hack The Box capture-the-flag at DEF CON 34 by its own account, and it was named Most Innovative Company of the Year 2026 at the Asia CEO Awards.
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