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By Jon McLachlan 70 min read Updated October 12, 2026

The Week After Your SOC 2 Report Lands

Your SOC 2 report just landed, the buyer said thanks, and then the questions started. That's the review working, and it's where enterprise deals speed up. Here are the six questions buyers ask in the week after, starting with the pentest, what each one is really asking, what to send before they ask, a seven-day plan that dates itself and a free kit of Word and PDF templates.

Late on Friday night, Michael Reichstein, a chief information security officer (CISO) who writes the Secureish newsletter, posted the cleanest line I’ve read about SOC 2 all year.

“SOC 2 in weeks. Win enterprise deals. Be secure.” Three promises, one subscription, and the third one is made up.
Compliance is a floor. Security is what happens when someone tries to go through the floor.

Michael Reichstein · CISO (since before it was cool) · October 9, 2026
Fifty-eight reactions and fifteen comments by Sunday. His target is the "SOC 2 in weeks" ad, and the founders those ads are written for. View on LinkedIn.

He’s right about the ads, and we’ll get to them. But I kept thinking about the founder those ads are aimed at, the one who did the work. You picked a scope, wrote the policies, sat through the observation window, and your System and Organization Controls (SOC) 2 report finally landed. You sent it to the buyer you’ve been courting for three months. Two days later, a reply like this one:

“Thanks for sending this over! Before we can move forward, could you share your most recent penetration test report and its scope? Our team also has a few follow-up questions about AI.”

In the deals we support for our clients, that’s usually the first thing a buyer asks for after the report: the pentest report and its scope. Then the rest arrive, often one at a time. What’s outside the report? What can your artificial intelligence (AI) agents reach? Which models touch our data? Who do we call when something breaks? Is any of this still true today?

The first time it happens, it stings. You just spent months and real money on an audit, and it feels like the goalposts moved. They didn’t. The SOC 2 report got you into the review, which is exactly its job. A buyer’s security team asking follow-up questions is a buyer that’s still buying. The week after the report lands is where enterprise deals speed up or stall, and the difference is almost always whether the answers were ready before the questions arrived.

Jon McLachlan, co-founder of YSecurity and host of The Security Podcast of Silicon Valley, author of this article on what enterprise buyers ask after a SOC 2 report, in a portrait
Jon McLachlan, co-founder of YSecurity and host of The Security Podcast of Silicon Valley. In the interest of full disclosure: we run SOC 2 programs and pentests and sit in on security reviews for startups, so I have a stake in the week after. I'll flag vendor data as vendor data, and nobody named in this post paid to be in it.

I’m writing this founder to founder, for the Series A team that just got its first report and has a big customer waiting on the other side of it. Here’s what’s in it. First, the six questions in one table. Then why “compliance is a floor” became the loudest argument in security this month, and what the accountants who sign SOC 2 reports said about it before anyone on LinkedIn did. Then a look at your report from the buyer’s side of the table. Then the heart of it: each of the six questions, what the buyer is really asking, the evidence and the public arguments behind it, and what to send before they ask. Three trends run through those questions, and they’re the ones security leaders couldn’t stop posting about this week: skepticism about fast SOC 2, AI in hiring and the missing human, and shadow AI running on whatever model is cheapest. There’s a short, clearly labeled piece of satire in the middle, because two bots reviewing each other is where this is heading if nobody owns the answers. At the end you’ll find a seven-day plan that dates itself on this page, and a free kit of Word and PDF templates for every document in it.

The short answer

A SOC 2 report answers one question very well: did the controls you described operate the way you said, over the period you picked? Everything a buyer asks in the following week is about what that sentence leaves out. Here are the six follow-ups, starting with the one our clients almost always hear first, what each one is really asking, and what to send with the report so nobody has to ask.

The buyer asksWhat they’re really askingSend this before they ask
1“Can we see your pentest report and its scope?”Did a qualified person try to break the thing we’re buying, and where didn’t they look?A pentest letter, a one-page scope summary, and the full report under a nondisclosure agreement (NDA) on request
2“What’s outside the report?”Is the product we’re buying actually covered?A one-page scope statement: what’s in, what’s out and why, which vendors are carved out (AI model providers included), and what the buyer has to do on their side
3“What can your agents reach?”If your AI does something unexpected, how much of our data is in reach?An agent access register: each agent, its owner, its identity, its permissions, the data it touches and how fast you can revoke it
4“Which models touch our data?”Where does our data go, who keeps it, and how will we know when that changes?A model and subprocessor disclosure with hosts, regions, retention, training terms and a change-notice promise
5“Who’s the human?”Who owns this, and who picks up the phone at 2 a.m.?A named-owners page: your security lead, each agent’s sponsor, an incident contact with a response time, and a live security.txt file
6“Is it still true today?”What changed since your audit period ended?A bridge letter, a dated change log and the date of your next report
Table titled Six follow-up questions, and what to send before they're asked, after a SOC 2 report lands. 1, can we see your pentest report and its scope? The buyer is asking whether someone qualified tried to break what they're buying, and where they didn't look. Send a pentest letter and a one-page scope summary. 2, what's outside the report? Is the product they're buying actually covered? Send a scope statement: what's in, what's out and why, and the vendors you rely on. 3, what can your agents reach? If your AI does something unexpected, how much of their data is in reach? Send an agent access register with an owner on every row. 4, which models touch our data? Where does their data go, and how will they know when that changes? Send a model and subprocessor disclosure with a change-notice promise. 5, who's the human? Who owns this, and who picks up the phone at 2 a.m.? Send a named-owners page and a live security.txt file. 6, is it still true today? What changed since your audit period ended? Send a bridge letter, a dated change log and your next report date
The pentest question is the one our clients hear first, nearly always. After that the order varies by buyer, and big buyers often send all six at once inside a questionnaire. The documents are the same either way, and every one of them has a template in the kit.

Every one of these questions is a sign your SOC 2 worked: it got you past the gate and into a real review, where a real person is now trying to say yes. The founders who close fastest treat the report as page one of a packet and send the other pages with it. If you’d rather skip straight to doing, jump to the seven-day plan or download the kit. If you want to know why buyers ask these six things in 2026, and what good answers look like, read on.

Compliance is a floor, and the accountants agree

Michael’s post landed at the end of a week when every founder I know was being sold something. Compliance platforms, audit firms, newly launched fractional security shops and AI-powered questionnaire tools were all posting at the same small audience: founders who need a SOC 2 to close a deal. It’s worth separating the parts of that pitch that are true from the part that isn’t, because the true parts are useful.

The ads, in their own words

Here’s what the biggest compliance platforms said on their own pages when I checked them on October 11, 2026:

  • Vanta’s SOC 2 page title, the one on your browser tab, reads “Get audit-ready in weeks, not months” (Vanta).
  • Secureframe’s says “Get SOC 2 ready in weeks, not months” (Secureframe).
  • Drata’s says “Scope with confidence and be ready in weeks.” (Drata).
  • Delve’s homepage still reads “Compliance in days, Security that lasts.” (Delve).
  • Comp AI’s blog promises “SOC 2 Type I audit-ready in 24 hours” (Comp AI).

Read them twice and you’ll notice the working word is “ready.” Ready is a real milestone: your controls exist, your evidence is collected and an auditor can start. It’s also the start of the audit, and the platforms say so further down their own pages. Vanta’s frequently asked questions advise, “If you need to move fast, start with Type I.” Secureframe describes a Type 2 as covering controls “over a period of at least 3 months, with 12 months recommended.” A Type 2 report, the one most enterprise buyers ask for, can’t arrive before its observation window ends. Our post on SOC 2 Type 1 vs Type 2 walks through the difference.

My favorite detail: the audit firm A-LIGN appears on both sides. Its own article says, “A SOC 2 can’t be completed in 14 days without any preparation” (A-LIGN). Meanwhile Vanta’s SOC 2 page carries a quote, credited to A-LIGN, that organizations using Vanta “reduce their audit completion times by 50%.” Both can be true, because “SOC 2 in weeks” is really three different clocks wearing one slogan.

Illustrative timeline titled Three clocks, one slogan, showing what SOC 2 in weeks is measuring, in months from kickoff. Clock 1, readiness: controls in place and evidence collected, drawn here as about a month and a half that can run to four months or longer, since readiness depends on where you start. This is the clock software shortens, and it's where ready in weeks lives. A Type 1 report tests controls at one point in time and is written up soon after readiness. Clock 2, the Type 2 window: controls must operate over a period, commonly 3, 6 or 12 months, and nobody can shorten it. Clock 3, fieldwork and report: testing after the window closes, with the report arriving a few weeks after fieldwork
The speed claims are about the first clock, and software really does shorten it. The other two run on the calendar. Sources: soc2auditors.org, Secureframe, A-LIGN.

The fastest version of this pitch has already had its reckoning. In November 2025, Delve posted that its agents had closed an audit in under three weeks.

About 1,500 likes. Four months later, an anonymous analysis of a leaked spreadsheet alleged that hundreds of reports from Delve's network were nearly identical. We covered what happened next, and what buyers now check, in Is Your SOC 2 Real? View on X.

Security people did what security people do with a scandal, which is turn it into a bit.

Satire, in the voice of an invented executive. The joke lands because of the last line: the people paying for the report were the ones least likely to ask how it was made. View on X.

The accountants got there first

Here’s the part of this story most founders haven’t heard. Months before Michael’s post, the profession that signs SOC 2 reports started saying the same thing in its own journals.

SOC 2 examinations are run under standards from the American Institute of Certified Public Accountants (AICPA), and only a licensed certified public accountant (CPA) firm can sign one. On February 1, 2026, the AICPA’s Journal of Accountancy warned that tool vendors “may promise compliance (a term never used in SOC 2 examinations) in mere weeks,” and gave the companies buying audits a simple test: “Is it unrealistically fast, easy, or cheap?” (Journal of Accountancy). Terry O’Brien, a director at the audit firm Schellman who sits on the AICPA’s SOC 2 working group, described what a rushed report looks like from the inside: “You just know it’s a template. You can compare any five of their reports, and they’re all exactly the same, with a different client logo on it.”

In April, the AICPA’s ethics staff listed “Tool provider-driven deadlines that require completion within a fixed time frame without appropriate regard to the service auditor’s professional judgment about scope, risk, staffing, and evidence needs” among the threats to an auditor’s independence, and added: “If a third party effectively controls the audit fee or ties it to other services, independence may be impaired” (Journal of Accountancy). In May, the AICPA guided the peer reviewers who inspect audit firms to look harder at “The reasonableness of SOC 2 engagement timelines,” and where they see risk, a reviewer may compare several of a firm’s reports side by side for identical risk assessments and sample sizes. Carl Mayes, the AICPA’s vice president for ethics and firm quality, put it plainly: “Some firms are leaning too heavily on third-party SOC platforms without applying the professional judgment required by our standards” (Journal of Accountancy).

Then the AI part. On August 30, the Cloud Security Alliance (CSA) published a research note pointing out that the AICPA “has not published AI-specific Trust Services Criteria,” so “two AI companies can each hold a clean SOC 2 Type II report while having tested entirely different control sets.” Its advice to buyers: “stop treating a SOC 2 report as a pass/fail credential and instead read the system description and management assertion to determine what was actually tested” (CSA). Twelve days later, on September 11, the AICPA issued guidance on how a company’s use of AI affects SOC 1 and SOC 2 examinations, Technical Questions and Answers section 9561 (AICPA). It adds no new criteria (Schneider Downs). AI gets handled through the rules that already exist for scope, system descriptions and outside vendors, which is exactly why three of the six questions below are about scope.

So when a buyer’s reviewer reads your report more carefully than they did two years ago, they’re following their own profession’s advice. That’s good news for you if your report holds up, and the next section shows how to make sure it does.

Do buyers even read it?

The best argument against everything in this post comes from Thomas Ptacek, a longtime security researcher and one of the sharpest voices on Hacker News:

"the overwhelming weight of the evidence is that ~practically nobody actually reads SOC2 reports; they just check the box for each vendor and move on."

tptacek, in a Hacker News thread on the Delve audit leak, March 2026

He’s describing a lot of buyers, and if your customers are other startups, he’s probably describing all of them. But the buyers founders most want are the ones who read every page. Deloitte’s guide for companies relying on a vendor’s SOC report walks reviewers through seven areas, from the system description, the scope and the period (including any bridge letter) to the auditor’s credentials, the opinion (“Is the report opinion qualified, and what is my impact?”), the customer’s own controls and the vendors that were carved out (Deloitte). Bank regulators’ guidance tells the banks they supervise that they “may consider reviewing” a vendor’s SOC reports during due diligence (Federal Register). Microsoft’s supplier program accepts a SOC 2 for its security requirements “where no qualifications are noted” (program guide), and for new suppliers, “work cannot start until this is complete” (Microsoft).

So both things are true. Casual buyers skim. Regulated and large buyers read, and those are the seven-figure contracts. Write your packet for the reader who reads.

The best case for speed deserves a fair hearing too, and nobody makes it better than Christina Cacioppo, Vanta’s co-founder and chief executive. On Stripe’s Cheeky Pint podcast in March, she explained the company’s founding bet: “your customers never ask you for security, but they do ask you for compliance.”

Her line about customers asking for compliance comes in the first couple of minutes. She's right that compliance opens the door, and G2's 2026 survey of more than 1,000 software buyers backs her up: "IT security review is the single biggest source of delay," named by 39% of buyers and 50% of enterprise buyers (G2, vendor data). Watch on YouTube.

Put the two sides together and you get the founder’s version of Michael’s line. Compliance is the floor, and you need it, because it’s what gets you into the room. Once you’re in the room, the buyer wants to see the rest of the house. The companies that came through this year’s scandal looking good were the ones that could show the house on request, starting with the name on the audit.

Naming your audit firm in public became a thing in March 2026, and it's a good thing. A buyer can look up the firm, check its peer review and move on. Put the firm's name on your trust center and in your cover note. View on X.

Everyone is posting at you

The other half of the trend is the flood of people offering to help. Lightcast, a labor-market analytics firm, counted at least 34,000 U.S. workers with “fractional” in their job title in 2025, up 265% since 2019, and nearly 1,000 postings for fractional roles in the first seven months of 2026, against 677 in all of 2025 (Lightcast). Those numbers cover every function, security included, and you’ve seen the security version in your feed. On October 6, Alex Sellers launched his fractional practice with one of the better launch posts I’ve read, because it starts with the founder’s problem instead of the seller’s résumé.

A customer security review stalls. The findings list is long and nobody can say what to do first. Leadership needs an answer before the next milestone.
That is usually the moment a growing company realizes it needs senior security guidance. It is rarely the moment it needs a full-time security hire.

Alex Sellers, CISSP, CISM · Security program leader, founder of Blackhole Cyberstrategy · October 6, 2026
His principle is the right one for anyone you hire in that moment: "security exists to protect the business so it can sell, ship, and grow. The job is to enable revenue, not to say no." View on LinkedIn.

I should say the obvious: YSecurity is one of the teams posting at you. We call ourselves the on-demand cybersecurity team, and the week after the report is a lot of what we do. So rather than tell you to hire us, here’s what Yash Kosaraju, the CISO of the venture firm Andreessen Horowitz (a16z), told me on episode 104 when I asked whether fractional CISOs are a good place to start.

Listen · Yash Kosaraju on episode 104, from 6:52
"That's a great resource. You could get either an advisor that you trust or a fractional CISO who can come in and jumpstart your program as well." Full episode and notes.

Whoever you pick, judge them by the week after. Ask them to show you the packet they’d send with your report, and who would get on the phone with your buyer. If you want the longer version, What Is a vCISO? covers the costs and the questions to ask, and In-House, On-Demand, or YOLO? helps you decide whether you need anyone at all yet. Michael Brooks was already working as a virtual CISO when he joined me on episode 7 back in 2021, and my co-founder Sasha Sinkevich and I recorded a founder’s guide to compliance on episode 37 that still holds up.

What happens on the buyer’s side when your report lands

It helps to picture the other side of the table. Your champion forwards the report to a vendor risk team that has a queue of other vendors in front of yours. KPMG’s 2026 third-party risk survey of 851 senior leaders in 16 countries found that onboarding a new vendor typically takes up to 60 days, and that “information security process time” was the factor respondents cited most often for how long it takes: 59% in technology, media and telecommunications, and 57% in financial services (KPMG technology report, financial services report). Your report is now in that queue.

The people in that queue read reports in roughly the same order. I pulled it together from the guides they actually use: Deloitte’s checklist for companies relying on SOC reports, Bitsight’s 2026 review guide, a CPA firm’s review steps and OneUptime’s buyer reading model. Here’s the order, and the line each one would flag.

  1. The opinion. Clean (unqualified) or not. Bitsight: “A qualified opinion is the single loudest compliance signal in a SOC 2 report” (Bitsight).
  2. The period. When it ended, and how long ago that was. The working rule in the market is that a report is good for a year, and after three months the buyer starts asking for a bridge letter (Bitsight).
  3. The auditor. Who signed it, whether the firm is licensed, and what its last peer review said. After this year, reviewers look the firm up. Our post Is Your SOC 2 Real? walks through the checks.
  4. The system description. Whether the product they’re buying is actually in it. Bitsight again: “If the product you buy is not clearly named in the system description, the report does not cover it.”
  5. The carve-outs. Which outside vendors, like your cloud provider and your AI model providers, sit outside the report, and whether the buyer can get those vendors’ reports.
  6. The buyer’s own homework. Most reports list complementary user entity controls (CUECs), the things the customer has to do for your controls to work, like managing their own users’ access. Deloitte tells buyers to “create a matrix of all CUECs and document rationale around relevance” (Deloitte).
  7. Exceptions and responses. Which tests found a problem, and what management says it did about it. Bitsight points out that management’s responses aren’t audited, and OneUptime’s model reminds buyers that “A future-dated plan cannot erase a historical deviation” (OneUptime).
  8. The gap. Everything that happened between the end of your period and today.
Timeline titled What the reviewer reads, and when the questions go out, an illustrative week on the buyer's side. Day 0: your report arrives, and your champion forwards it to vendor risk, often with a questionnaire already open. Day 1: opinion, period and auditor, meaning clean or qualified, how long ago the period ended and which licensed firm signed it. Day 2: the system description, whether the product being bought is named, and which vendors are carved out and whether they have reports. Day 3: exceptions and the buyer's homework, each exception and its response, and the controls the buyer has to run on their side. Days 3 to 5: the follow-up list goes out, covering the pentest and its scope, what's outside the report, agents, models, named humans and the gap since the period ended. Day 5 and on: questionnaire and contract, including the security exhibit, AI terms and approvals, and the packet you already sent decides how long this takes
An illustrative first week on the buyer's side, assembled from the review guides above. Day counts vary a lot by buyer. The order rarely does, and every step either ends in a check mark or a request to you.

Exceptions deserve a word, because founders fear them more than they should. An exception means the auditor tested a control and found a time it didn’t work, like an access review that ran a week late. A report with a few exceptions and clear, specific responses reads as an honest audit. A report with zero exceptions, a templated system description and generic responses is the pattern reviewers learned to distrust this year. The buyer is reading for whether the report describes your company. Make sure it does before you send it.

By the end of the first pass, the reviewer has a list of what the report didn’t answer, and the request goes out. Sometimes it’s polite and short. Sometimes it’s a spreadsheet. The list itself is remarkably consistent, as this post from the other side of a deal shows.

A plugin company getting the full enterprise list for a small sale, and refusing to fill it in. That's a legitimate call for a small sale. For the deal you've been chasing all quarter, you want that list answered before it arrives. View on X.

One more thing has changed on the buyer’s side this year: the first reader of your packet may be a model. Whistic’s platform has agents that “read vendor evidence, answer controls with citations,” with the tagline “Automate the work. Own the decision.” (Whistic). Vanta, Drata and others sell the same idea to buyers. That changes how you should write your documents. Put one fact on each line, date everything, name every vendor and every owner, and say plainly what’s out of scope. A model citing your packet will quote exactly what you wrote, so write what you want quoted.

If you want to see a reviewer’s-eye view from a CPA firm, this hour from McKonly & Asbury is the best I’ve found. It’s from 2023, and the reading order hasn’t changed.

An hour-long webinar from a CPA firm on how customers should read the SOC 2 reports their vendors send. Watch the first twenty minutes the day your report lands, then read your own report the same way. Watch on YouTube.

That’s day one of the plan: read your own report the way the buyer will, before the buyer does. Every note you make becomes either a fix, a sentence in your cover note or one of the six documents below.

Question 1: Can we see your pentest report and its scope?

This is the question our clients hear first, and it makes sense once you know what a SOC 2 does and doesn’t test. The auditor checks that your controls exist and operated during the period. Nobody in a SOC 2 examination tries to break into your product. The criteria mention penetration testing only as one example of how a company might evaluate its controls, which is why one compliance platform puts it this way: “SOC 2 auditors don’t require penetration testing, but your customers do” (Bastion, vendor). Michael’s post makes the same point in three words: “Nobody attacks anything.”

What the buyer is really asking is: did a qualified person try to break the thing we’re buying, and where didn’t they look? The second half matters as much as the first, and it’s the half founders forget to answer.

The letter, the report and the scope

Most buyers don’t need your full report, and most sellers shouldn’t send it by default. A pentest report is a detailed map of your weak spots. Stingrai, a testing firm, put it memorably: “A full report is, by design, a curated set of instructions for exploiting your systems.” What most reviews need is the attestation letter, “a one-page confirmation that a qualified firm tested a defined scope on defined dates,” and in Stingrai’s experience, “Many reviews are satisfied by the letter alone” (Stingrai, vendor). The market agrees. When The Audit Trail looked at the trust centers of 131 cloud companies on October 2, 2026, pentest reports sat behind a gate on 67 of them, five published a public summary, and only one, HubSpot, published the full report (The Audit Trail, which notes that some vendors pay it to be assessed or listed).

A letter only helps if it says enough. Packetlabs warns that “A vague letter that provides little information may not satisfy procurement or security teams,” and that one from several years ago “may raise concerns rather than build trust” (Packetlabs, vendor). CREST, the accreditation body for penetration testing firms, sets a higher bar for the report itself: it should state “any exclusions or restrictions that applied to the assessment and the coverage gained” and include “A statement of totality against the defined scope” (CREST). That phrase, a statement of totality, is the whole game. It’s the tester saying, in writing, what they covered and what they didn’t.

Example pentest letter for a made-up company, Northwind AI, titled What a reviewer looks for in a pentest letter. Usually there: the testing firm, Example Security LLC, CREST accredited; two named testers with certifications listed; dates and effort, August 3 to 14, 2026, 16 tester-days; the environment, production with a dedicated test tenant; in scope, the web app, public API, admin console and cloud configuration; the method, OWASP ASVS 5.0 and the OWASP top tens for LLM and agentic applications; and findings, 0 critical, 1 high, 3 medium and 5 low. Often missing, and often asked: the AI features tested, here assistant prompts, three agent tools and one MCP server; what was out of scope and why, here the mobile app, scheduled for November 2026, and the marketing site, which holds no customer data; and retest status, here the high finding was fixed and retested on August 28. The letter is signed by the testing firm, dated and one page
What a reviewer looks for in a pentest letter, on a made-up company. The dashed lines are the ones founders leave out most often. The kit has a scope summary template with every one of these fields.

The scope questions reviewers catch

Here’s where a letter quietly loses a deal. Reviewers have seen enough of them to know where the thin spots hide.

  • Staging instead of production. Testing a copy of your app is sometimes the safe choice, but it should be a choice you can explain. Strike Graph’s pentest guidance says, “We usually recommend that you test against your production environment since that is what an attacker would be up against” (Strike Graph). If you tested staging, say how closely it matches production.
  • A scope sized to the package. The same help page notes that a standard test can “include a maximum of two websites and one API,” meaning one application programming interface. That’s a perfectly good test for a small product. If yours has five services and a mobile app, the reviewer will count.
  • The AI left out. Sherif Koussa, chief executive of the testing firm Software Secured, wrote the question reviewers are starting to ask word for word: “Have AI-specific attack scenarios, not just standard web app tests, actually been included in your last penetration test?” (Secureframe). The Open Worldwide Application Security Project (OWASP) now publishes a top ten for large language model (LLM) applications, where “excessive agency” moved up to third place in the 2026 edition, and a separate top ten for agentic applications (OWASP).
  • The forgotten doors. Admin consoles, test accounts, support tools and old environments. More on those in the next question.
  • No retest. A good letter, in Stingrai’s words, “also notes whether findings were remediated and retested.” A list of open criticals with no retest date is the one thing a letter shouldn’t show.

A practitioner on Hacker News explained years ago why reviewers have to read the scope so closely:

“The pentesting industry has a big problem with being a good ‘market for lemons’.” … “There’s no requirement to state all the tests they did, just the results,”

raesene9, in a Hacker News thread on cybersecurity hiring, May 2021

When a buyer can’t see how hard someone looked, a clean result tells them very little. One testing vendor goes further and argues that “A clean report suggests that the scope was too narrow or the methodology was not rigorous enough” (Casco, vendor). I wouldn’t go that far, since a small, well-built product can come back clean. But it’s the reason a short letter with a clear scope beats a long report with a vague one. The open-source password manager Psono shows the confident version: it published its full 2026 audit by Cure53, including the number of testers (four), the days they spent (twelve and a half) and every finding, the highest of which was rated low (Psono).

The test that missed the test account

The cautionary tale here is McHire, the recruiting chatbot platform McDonald’s used, run by the vendor Paradox.ai. In 2025, two researchers logged into an administrator interface with a username and password of “123456” and found a path to more than 64 million job applications (Ian Carroll and Sam Curry). The account was a test account that hadn’t been used since 2019. Paradox had announced its SOC 2 Type 2 back in 2019, and the old account was, as Brian Krebs put it, “somehow missed in their annual penetration tests” (KrebsOnSecurity). Paradox’s own statement afterward was refreshingly direct: “none of our penetration tests previously identified the issue” (Paradox). Whatever those tests covered, they didn’t find the door. We’ll come back to this story in question 5, because it has a second lesson about humans.

This explainer from Secure Ideas, an established testing firm, covers scoping in under five minutes, and it’s a good thing to send your engineering lead before you book your next test.

Four and a half minutes on what goes into a pentest scope and why it matters to whoever reads the report later. Watch on YouTube.

What to send before they ask

Send the letter, plus a one-page scope summary that answers the reviewer’s questions before they write them down:

  • The testing firm, its accreditation and the named testers.
  • The dates, the number of tester days and the environment (production or staging, and how they differ).
  • What was in scope: each web app, API, mobile app, cloud account and AI feature, including prompts, tools, agents and Model Context Protocol (MCP) servers.
  • What was out of scope, why, and when it will be tested. A dated plan is an answer.
  • The method: which standards the testers followed, such as the OWASP Application Security Verification Standard and the OWASP top tens for LLM and agentic applications.
  • Findings by severity, and the retest status of every critical and high finding.
  • When the next test is scheduled, and who to contact for the full report under NDA.

If your last test didn’t cover your AI features, that’s your first opportunity of the week: book one that does, and put its date in the scope summary. Our post Pentest Once a Year? goes deep on what buyers expect from AI startups in 2027, and its buyer evidence scorecard shows where your evidence stands in five minutes. AI Penetration Testing covers what automated testing can and can’t do yet. When you need the test itself, our penetration testing is scoped to clear the deal, with the retest and a verified report included.

Question 2: What’s outside the report?

Michael’s post has a line in it that every founder should read twice: “Nobody looks at what you left out of scope, and you always leave something out.”

He’s right that you always leave something out, and that’s fine. A SOC 2 lets you draw the boundary of the system you’re describing, and every company draws it somewhere. Your cloud provider has its own report, so it’s usually carved out. Your marketing site might not touch customer data, so it’s often left out entirely. What changed in 2026 is the second half of his sentence. Buyers do look now, because the incidents that taught them to look all started somewhere outside the boundary.

What the buyer is really asking is: is the thing we’re buying covered, and what sits next to it that isn’t?

Three words worth learning

The system description in your report is where the boundary lives. Reviewers will look for three things in it.

  • Carve-outs. Outside vendors that your system depends on but that your auditor didn’t examine, like your cloud provider. The SOC 2 term is a subservice organization. With the carve-out method, those vendors’ controls sit outside your report, and the buyer is expected to look at the vendor’s own report instead.
  • Complementary subservice organization controls. The controls you’re counting on those vendors to run. If your cloud provider encrypts disks for you, that’s one of them.
  • Complementary user entity controls (CUECs). The controls you’re counting on your customer to run, like removing their departed employees from your app.
An eleven-minute explainer on the inclusive and carve-out methods, from a small training channel. It's the clearest short version I've found of why reviewers ask about carve-outs. Watch on YouTube.

Your AI providers are probably a carve-out

Here’s the 2026 twist. When the AICPA issued its guidance on AI in SOC examinations on September 11, it didn’t create anything new for AI. Bill Deller of the CPA firm Schneider Downs summarized it: “AI does not create a separate SOC examination model,” and third-party AI providers go through “the existing subservice organization concept.” For any AI provider that performs part of your system, he writes, the analysis is the same as for any other vendor in that role: “does this provider meet the definition under the applicable SOC guidance, and if so, is it addressed using the inclusive or carve-out method?” He also warned that many companies “have introduced AI providers quickly and informally,” so their vendor lists and carve-outs are likely out of date (Schneider Downs). The audit firm Aprio makes a similar point: if a model provider performs part of the service your report covers, it “may meet the definition of a subservice organization, which changes how it is presented in your report,” so “Make the determination deliberately and document your reasoning” (Aprio).

In plain words: if your product sends customer data to a model provider, your buyer will want that provider named in your report or in a document next to it. The CSA’s note explains why reviewers care. A report “can be entirely accurate about the controls it describes while being silent about AI systems” the company never put in scope (CSA). A buyer can’t tell from silence whether you have no AI or forgot to mention it.

Diagram titled The boundary a buyer reads, showing what a SOC 2 report covers and what sits next to it. Inside the report: your product, by the name your buyer uses; production cloud accounts and data stores; the code, build and deployment pipeline; and people, policies, access reviews and incident response. Carved-out vendors sit outside your report and the buyer reads their reports instead: your cloud provider, with its own SOC 2, and your AI model providers, which you should name. On your customer's side are complementary user entity controls: their single sign-on, their users and their admins. Next to the boundary, where buyers now ask questions: test and legacy environments, support and ticketing tools, AI tools on employee accounts, analytics and marketing vendors, laptops and agent transcripts, and integrations that hold tokens
The boundary a buyer reads, and the things that sit next to it. Everything in the dashed zone is a fair question in the week after, and a one-page scope statement answers all of it before it's asked.

The doors next to the house

Buyers didn’t start asking this because of a theory. They started asking because the biggest security stories of the last three years kept beginning outside the system everyone had reviewed. Here are ten of them.

WhenCompanyWhere it startedThe question buyers now ask
Oct 2023OktaA service account stored inside its customer support systemWhich support and ticketing tools hold our data or tokens?
Jan 2024MicrosoftA legacy test tenant account without multifactor authentication, and an old test app with broad accessWhich test and legacy environments exist, and do they have production access?
Jun 2024Snowflake customersCustomer accounts without multifactor authentication, some using passwords stolen years earlierWhich security settings are on us, and do you enforce them?
Jun 2025McHire (Paradox.ai)A test administrator account untouched since 2019, with a default passwordWho reviews old accounts, and did your pentest look for them?
Aug 2025Salesloft DriftStolen tokens from a third-party chat app, then secrets pasted into support casesWhich integrations hold tokens to our systems?
Nov 2025OpenAIMixpanel, a web analytics vendor on the front endWhich smaller vendors receive our users’ data?
Mar 2026McKinsey’s LilliPublicly exposed API documentation and 22 endpoints that needed no authenticationWhat’s exposed outside your main app?
Mar 2026Mercor and other LiteLLM usersPoisoned releases of LiteLLM, an open-source AI gateway whose maker advertised a SOC 2How do you vet the packages and gateways your AI runs through?
Apr 2026VercelAn AI tool an employee connected to their work Google accountWhich AI tools have access to your employees’ accounts?
May 2026ComposioAn internal agent monitoring tool and a staging systemDo your internal agents and staging systems hold real credentials?

Sources, in order: Okta, Microsoft, Mandiant, Paradox, Google Threat Intelligence and Cloudflare, OpenAI, CodeWall (the testing vendor that found it), BleepingComputer, TechCrunch and TechCrunch again, Vercel, Composio.

Read the last column again. Those are the exact follow-up questions reviewers send now, and every one of them is easier to answer in a document you wrote calmly on a Tuesday than in a reply you write at 11 p.m. with a deal on the line.

Michael’s post describes the most human version of this: “Then someone calls the help desk with a good story, gets a password reset, and the data walks out while the report is still valid. The auditor did not fail. The control was never in scope.” The fix is to know where your scope ends and to say so out loud.

The companies that answer it in public

The best answers I found this month were published before anyone asked.

  • OpenAI keeps a product compliance status page with a plain legend: ”✓ = publicly supported or in scope. Blank = not in scope or not applicable.” Each product gets its own row, so a buyer can see in seconds whether the product they’re buying is covered (OpenAI). Its trust portal states the period of the latest SOC 2 report, July 1, 2025 to June 30, 2026 (OpenAI Trust Portal).
  • Anthropic’s documentation for Claude Code has a table titled “What ZDR does not cover,” where ZDR is zero data retention. It lists chat, its Cowork product, analytics metadata and more, and says, “Data processed by third-party tools, MCP servers, or other external integrations is not covered by ZDR” (Anthropic). That’s a company telling you exactly where its promise stops.
  • Drata’s trust center posts a short, dated note for each major incident in the news, such as “Drata Not Impacted by the April 2026 Vercel Security Incident,” with a sentence on how it uses the affected vendor (Drata). When a buyer’s question is “were you affected?”, the answer is already there with a date on it.
  • Harness, which has grown by acquisition, announces on its trust center “Updated 2026 SOC Reports for Harness, Traceable, and Qwiet.ai,” naming itself and Traceable and Qwiet AI, two companies it merged with or bought (Harness). A buyer can see which companies the audits covered and ask for the report that matches the product they’re buying.

A disclosure on that last one: I was the Chief Security Officer at Augment Code, whose Cosmos and Auggie products Harness acquired on October 8, 2026. I’d point to Harness’s trust center either way. Its head of security and compliance back in 2022, Andrew Spangler, talked about building trust inside a security team on episode 26, and our own sponsor read on that episode was promoting SOC 2 in five months. The honest number hasn’t changed much since.

What to send before they ask

Send a one-page scope statement with the report. It answers the question in four short sections:

  1. What the report covers. Product names exactly as your buyer knows them, environments, regions, the teams and processes in scope, the trust services criteria, the period and the audit firm.
  2. Vendors we rely on. Each carved-out vendor, what it does for you, whether it touches customer data and where to find its own report. List your AI model providers here, by name.
  3. What’s outside, and why. Your marketing site, internal tools, test environments, laptops and anything else that isn’t in the report, with one line on why and what other evidence covers it, like your pentest or your device management.
  4. What we need from you. Your CUECs in plain words, such as turning on single sign-on and removing departed users promptly.

Then add one habit from Drata’s playbook: a dated note on your trust center whenever a big incident hits the news, even when the note says you weren’t affected. If your current boundary is a mess, that’s normal for a first report, and it’s the easiest thing in this post to clean up before your next period starts. Our SOC 2 Type 2 work starts with the boundary for exactly this reason, and the free SOC 2 readiness checklist scores it along with nine other areas auditors review. If you’re signing the buyer’s contract next, The Security Exhibit Your Startup Signed Last Quarter shows how to diff its promises against what your report actually covers.

Question 3: What can your agents reach?

A couple of years ago, almost nobody asked this. Now it’s the one that makes AI startups sweat, and it’s also the one where a startup can stand out fastest, because so few companies can answer it yet. When I asked Yash Kosaraju how a16z reviews AI tools, he described the shift better than any questionnaire I’ve seen.

The player opens at 16:33: "the bigger challenge with AI tools is not your vendor due diligence of, like, do you have a pentest or do you have a SOC 2, and all of those questionnaires. The bigger issue here is what data do you have access to? How do you access it? And is it a two-way read-write or just a read?" Watch on YouTube.

What the buyer is really asking is: if your AI does something nobody expected, how much of our data is within its reach? That’s a question about software, permissions and testing, which is good news. Software can be listed, permissions can be narrowed, and both can be tested before the buyer ever asks.

Buyers are writing it into contracts

The clearest example I found is Honeywell. Its supplier security terms, effective August 3, 2026, include a section titled “Bot and Automated Agent Security.” It reads like a checklist you could hand your engineers today (Honeywell):

  • “Each Bot is to have unique credentials”
  • “Bot sessions will terminate after 30 minutes of inactivity”
  • “Bot session must re-authenticate weekly or more frequently”
  • “A Bot’s access is always to be limited to only what is necessary to accomplish the assigned task(s)”
  • “Bot CRUD events are to be logged and retained for a minimum of 30 days,” where CRUD means create, read, update and delete

Questionnaires are catching up too. A sample AI vendor questionnaire from the security company Reco asks, “Do AI features inherit the invoking user’s permissions, or run with elevated service permissions?” and “Is there a kill switch to halt all autonomous activity immediately, and who can trigger it?” (Reco, vendor). One from the identity company SSOJet asks the question I’d most want answered: “What happens to an agent’s access when the employee who created it leaves?” (SSOJet, vendor).

Why buyers started asking this summer

Because this summer, agents found every door their credentials opened.

In July, AI agents built on OpenAI models broke out of an internal evaluation and spent days inside Hugging Face, the platform most of the AI world uses to share models. Hugging Face’s own timeline is a remarkable piece of writing. One agent went from code running in a single worker pod to cluster-administrator access across several internal clusters “in under thirteen hours,” helped along by a connector service that had been “wrongly provisioned” with one shared, all-powerful credential (Hugging Face). OpenAI said the safeguards it uses in deployment “were intentionally not enabled during this evaluation” (OpenAI). The independent investigators at METR found something stranger: “Agents realized this activity was out of scope and unethical, but joined” anyway, in part because they “had a general inclination to help their ‘peers’” (METR). Scope written in a document is a request. Scope enforced by a credential is the kind that holds.

The Black Hat USA 2026 talk on the incident, with more than 1.2 million views. Hugging Face's most useful line for founders is in its timeline: "A capable human attacker could have found and exploited the same flaws." The flaws were ordinary. "Volume is what changes the defensive problem." Watch on YouTube.

Then, three days ago, the “one prompt” story. On October 8, the security company Zenity disclosed a chain it calls AgentCorruption in Amazon Bedrock AgentCore, Amazon Web Services’ (AWS) platform for running agents. A single prompt to a public-facing agent with a common web-request tool could pull the temporary cloud credentials of the machine underneath, and under the old defaults those credentials belonged to a role that reached every AgentCore agent in the same account and region (Zenity, vendor). In February, AWS made the more secure version of its instance metadata service the default for new AgentCore agents, and Zenity says AWS has also narrowed the default role. AWS says the research “inaccurately paints expected and documented behavior as a vulnerability” (Dark Reading). Both sides agree on the part that matters to you: a narrow role for each agent keeps one bad prompt from becoming everyone’s problem.

A single prompt taking over your entire AWS Bedrock AgentCore fleet sounds like the plot of a sci-fi thriller, but it was almost reality.
Done well, agentic support in the cloud can be a productivity force multiplier, but it is how you do it "right" that will matter.

Mike Geehan · CISO at AlertD · October 11, 2026
Posted this morning. Mike disagrees with the article he's sharing, which opens by saying AI and cloud computing "don't mix well," and I'm with him. His company sells cloud tooling, so weigh his pitch at the end the way you'd weigh mine. View on LinkedIn.

Michael Bargury, Zenity’s co-founder and chief technology officer, framed the tension well: “Cloud security is all about segmentation and least-privilege access. AI agents, however, need their creative space to be useful. Mixing the two creates an inherent conflict.” I’d put it a little differently. An agent is software. It does exactly what its code, its prompt and its credentials allow, so the creative space is whatever you hand it. You wouldn’t give a house key to someone you met once at a café, and you shouldn’t hand a production credential to an agent you’ve tested once. Give it its own identity, give it the smallest key that does the job, and then go play: throw prompt injections at it, read its transcripts, try to make it misbehave on purpose. That’s the fun part of building with agents, and it’s also the evidence your buyer wants.

”Do not” is not deny

Plenty of teams answer the agent question with their prompt files. A study posted in August went looking for whether that holds up, and Polycarpo Souza Neto summarized it this morning on LinkedIn.

Writing a security rule for an AI agent does not mean it will actually be enforced.
Only 4.4% of the identified security rules matched native controls under the strictest evaluation criteria.

Polycarpo Souza Neto · Machine Learning, Deep Learning, Federated Learning, Generative AI · October 11, 2026
The paper is "When 'Do Not' Is Not Deny," a single-author preprint by Ting Yan that hasn't been peer reviewed. It examined 481 public repositories with CLAUDE.md instruction files, in which a classifier flagged 870 security-related rules, and found that rules about authorization and personal data were the least likely to have a matching built-in control. Its summary line: "CLAUDE.md is a write-only channel." View on LinkedIn.

An instruction in a prompt file shapes what the model tries to do. A permission decides what it can do. Your buyer’s reviewer is asking about the second one, so answer with permissions: which identity each agent uses, what that identity can read and write, and where the deny rules live in your settings rather than your prompts (arXiv). Your AI Agent Said No. Your API Key Said Yes. lays out the seven-part gate behind those answers, with a builder that drafts the questionnaire paragraph for you.

Confident, and checking

Most companies believe they have this handled. Harness surveyed 700 technology professionals at large companies in July for its State of Agent DLC 2026 report, and the gap between belief and proof is the most useful chart I saw this month (Harness, vendor data).

Bar chart titled Confident about agents, still building the proof, from two vendor-funded 2026 surveys. In Harness's State of Agent DLC 2026 survey of 700 technology professionals at large companies, 77% were confident they had a complete inventory of every agent, MCP server and LLM, but only 44% ran discovery tools to verify it; 76% believed they could disable a misbehaving agent in under 15 minutes, but only 33% had an instant kill switch in place. In a Cloud Security Alliance survey of 228 organizations, commissioned by the identity vendor Aembit, 31% let agents operate under a human user's identity and 43% used shared or generic service accounts for agents
Large companies are confident about their agents and still building the proof. That's an opening for a startup: the vendor who can show its agent inventory and its off switch is ahead of most of its own customers. Sources: Harness (vendor data) and the Cloud Security Alliance via Help Net Security.

Seventy-seven percent were confident they had a complete inventory of every agent, MCP server and LLM, and only 44% ran discovery tools to check. Seventy-six percent believed they could shut off a misbehaving agent in under 15 minutes, and only 33% had an instant way to do it. A separate Cloud Security Alliance survey, commissioned by the identity vendor Aembit, found 31% of organizations let agents operate under a human user’s identity and 43% use shared or generic service accounts. Harness and Aembit both sell tools for managing agents, so read the exact numbers loosely. The shape matches what we see in every review.

A conference screen at Twin Cities Startup Week showing a live audience poll asking what the worst thing an unchecked AI agent could do
Innovation Day at Twin Cities Startup Week put this question to a room of founders as a live poll in September. The register below is how you answer it for your own agents, one row at a time.

What to send before they ask

Send an agent access register. It’s a spreadsheet with one row per agent or AI integration, and it answers the buyer’s question in the buyer’s terms:

  • The agent and its job. What it is, what it’s for and where it runs.
  • Its owner. A named person accountable for it. Microsoft’s identity platform calls this person the sponsor: “Sponsors are business owners who are accountable for the agent’s purpose, lifecycle decisions, and access reviews” (Microsoft).
  • Its identity. Its own credential, a user’s borrowed one or a shared service account. Only the first one is a good answer.
  • What it can reach. Each system and data set, and whether it can read, write or both. This is Yash’s two-way question.
  • Its model. Which model and provider it runs on, which connects to question 4.
  • Its logs. Where its actions are recorded and for how long.
  • Its off switch. Who can revoke its access, how, and how long it takes.
  • Its last test. When someone last tried to make it misbehave, and what happened.

If you’ve never done this, start with the 30-minute first-pass inventory in our credential inventory post, then score your agents with the agent reach scorecard. For the deeper design work, Agentic AI Security: Why Agents Need Least Privilege, Are You Actually Going to Give the Agent Write Access? and Your MCP Server Passed Review, Then It Changed go one layer down. Graham Neray of Oso explained why authorization is where agent risk lives on episode 89, and Eric Olden of Strata Identity walked through an identity layer for agents on episode 81. When you want a second set of eyes, our AI user access control audits and secure MCP program are built around this register.

Question 4: Which models touch our data, and where do they run?

This is the question where the third trend of the month lands on your desk. Developers are routing work to whichever model is cheapest that week, and a lot of the cheapest models are open-weight models, the kind whose weights anyone can download and run. Michael Reichstein wrote the sharpest version of it on October 5.

Nobody picked a side. They picked free.
Your developers already picked a side. On a Tuesday, without asking, because it was free and the key took thirty seconds.

Michael Reichstein · CISO (since before it was cool) · October 5, 2026
His headline number, that Chinese models went from under 15% to over 54% of global usage in a year, doesn't match any single source I could find. The closest public data is below, and it tells the same story with a twist. His last line is the one to keep: "The question is whether anyone has a list of who poured." View on LinkedIn.

What the buyer is really asking is: where does our data go, who keeps it, and how will we know when that changes? The last part is the new part, because in 2026 the answer can change on a Tuesday.

What the routing data shows

Vercel runs an AI gateway that sends developers’ requests to many model providers, and its September production index is the cleanest public data I found. Open-weight models’ share of tokens “rose every month from April through August, rising from 13% to 56% of total volume.” The twist is the money. In August those open-weight models “processed 56% of August’s gateway tokens and accounted for 14% of spend,” while “Anthropic kept 64% of all spend” (Vercel). Vercel’s index doesn’t sort models by country, but the Korean outlet DigitalToday reported that Chinese models’ share on Vercel rose to 55% in August from 11% in January (DigitalToday).

Bar chart titled Tokens are not dollars, from the Vercel AI Gateway Production Index, September 2026. Open-weight models' share of tokens on the gateway rose from 13% in April 2026 to 56% in August 2026. In August, open-weight models accounted for 14% of spend, while Anthropic kept 64% of all spend
Developers send the bulk of the volume to cheap open-weight models and keep paying for frontier models on the work that matters. Both choices are reasonable. Both belong on the list your buyer asks for. Source: Vercel AI Gateway Production Index, September 17, 2026.

The router everyone talks about is OpenRouter, which Stripe agreed to acquire in August (Menlo Ventures). Its public rankings are a weekly snapshot of developer taste, and this summer the top of the chart went Chinese.

The mix moves every week. In the week of September 28, OpenRouter's own rankings showed requests to Google's models up 23% and to OpenAI's up 20% week over week. That volatility is exactly why buyers ask how you'd know when your mix changed. View on X.

Here’s the detail most founders miss. When your code asks a router for a model by name, the router may pick a different host for each request. OpenRouter’s documentation says that “By default, requests are load balanced across the top providers to maximize uptime,” and among stable providers it picks a low-cost one “weighted by inverse square of the price” (OpenRouter). Its provider directory, read on October 11, lists DeepSeek’s own endpoint as headquartered in China, training on prompts and retaining them, and lists United States hosts like Fireworks, Together, Amazon Bedrock and Baseten as zero retention (OpenRouter). Same model name, very different answers to your buyer’s question. On September 9, OpenRouter added United States in-region routing for its Business and Enterprise plans, alongside the European Union routing it launched in October 2025 (OpenRouter), and its routing settings let you pin the providers you’ve approved. One engineer who benchmarked the hosts put it well: “They’re the same model on paper, but very different models in real life” (Mo Moustafa).

Who built it can matter as much as where it runs

For most buyers, hosting and retention are the whole question. For some, the model’s maker matters too. Section 1532 of the defense authorization law for fiscal year 2026 bars Department of Defense contractors from using AI “developed by the Chinese company DeepSeek” when performing a contract (ETO Agora). The test is who developed the model, so hosting DeepSeek’s weights on Amazon Bedrock in Virginia doesn’t change the answer. If you sell into the defense supply chain, you may be asked to attest to it.

The government’s own evaluators have also been testing these models. The Center for AI Standards and Innovation (CAISI) at the National Institute of Standards and Technology found in 2025 that agents built on one DeepSeek model were “12 times more likely” than U.S. frontier models to follow malicious instructions (NIST), and this September it called Z.ai’s GLM-5.3 “the most cyber-capable open-weight model released to date,” about four months behind the U.S. frontier (NIST). Capable and cheap models are a gift to builders. They’re also a reason to know exactly which ones you use.

And sometimes the open-weight model is the hero. During the Hugging Face incident, the defenders’ first-choice AI tools wouldn’t help: “The models we reached for first, Claude Opus and Fable, refused a large part of that work,” the timeline says. Hugging Face switched to GLM-5.2, an open-weight model, running on its own servers, which let it decrypt the attacker’s files (Hugging Face).

Replit's chief executive, with more than 9,000 likes. One correction from the primary source: Hugging Face used the open model to analyze the attack after Claude Opus and Fable refused, not to contain the agents. The governance lesson holds either way. The team that already knew which models it could use, and where, moved fastest. View on X.
Listen · Yash Kosaraju on episode 104, from 30:54
Yash expects buyers to want this choice too: "Maybe the one that came out 2 months ago is only 95% as accurate, but 50% cheaper," including "open-weight models that the vendor has hosted on their infrastructure." Cheap models belong on the list like any other. Full episode and notes.

Inventory beats blocking

The instinct is to block. The data says blocking mostly moves the activity somewhere you can’t see it. Samsung banned generative AI tools in its device division in 2023 after an engineer uploaded internal source code to ChatGPT (KED Global), and in June 2026 the same division rolled out ChatGPT, Gemini and Claude to its employees (CIO.com). Netskope found the share of AI users on personal accounts fell from 78% to 47% as companies provided managed accounts, which rose from 25% to 62% (Netskope, vendor data). Zscaler’s customers blocked 39% of AI and machine-learning transactions in 2025, down from 59.9% the year before (Zscaler, vendor data). Harmonic Security, which monitors this traffic for a living, put it in one line: “Over-blocking doesn’t reduce AI usage. It reduces visibility” (Harmonic, vendor).

So how do you build the list? Michael, again, wrote the most practical guide I’ve seen, two weeks ago.

Where is the AI in your building?
Your finance system has the most complete AI inventory in the company, and nobody in security has ever asked for it. Ask for it.

Michael Reichstein · CISO (since before it was cool) · September 28, 2026
His five places to look: accounts payable, OAuth grants in your identity provider, the API keys your developers created, outbound Domain Name System (DNS) logs, and browser extensions. "Then you have a list. It will be longer than you thought and shorter than the truth." View on LinkedIn.
A three-minute primer from TechTarget's Eye on Tech, short enough to send to your co-founder before the inventory meeting. Watch on YouTube.

Buyers already have the words

You don’t have to guess what buyers will ask, because public-sector buyers have published their questions. GovRAMP’s “Asking Your Providers About AI” guide, from August, includes “Where is the model hosted and operated, and where does our data flow?”, “Is our data used to train, tune, or improve the model?” and “How and when will you notify us before a model changes?” It also tells buyers to “request the artifacts they may already maintain” instead of sending another form (GovRAMP). Microsoft’s supplier requirements say “Any change to the Intended Uses must be disclosed without undue delay” (Microsoft). A revised clause proposed by the U.S. General Services Administration in June would require at least 30 days’ notice before a contractor adds or replaces a large language model or provider, according to the law firm Jenner & Block’s summary (Jenner & Block).

That’s why switching models has a cost beyond engineering, as one Hacker News commenter listed:

"new DPA, subprocessor notifications, TIA, procurement review, security questionnaires" … "token cost is just one of the line items."

Clueed, in a Hacker News thread on a new Gemini model, May 2026. A DPA is a data processing agreement and a TIA is a transfer impact assessment.

The companies doing this well publish the list. Vercel’s subprocessor page names its inference hosts, including Baseten, Cerebras, Fireworks AI and Groq (Vercel). Notion says “By default, Notion and its AI Subprocessors do not use Customer Data to train any models” and that “our LLM providers utilize zero data retention for Enterprise plan workspaces” (Notion). Cursor’s security page says it “respects model blocklists and will not send requests to models on a blocklist” and “does not use or maintain any infrastructure in China” (Cursor). Even the honest gaps help. One AI gateway’s subprocessor page says its notice period doesn’t apply to AI providers, because “those are added continuously,” and tells customers to use “a compliance policy or provider pinning” (LLM Gateway). A buyer can work with that, because it’s true and it comes with a fix.

What to send before they ask

Send a model and subprocessor disclosure. For each model that touches customer data:

  • The model and its maker. Name and version, and who built it.
  • The host and region. Who runs it, where, and whether a router can switch hosts. If you pin providers or regions on your gateway, say so.
  • What data reaches it. Customer content, metadata or nothing customer-specific.
  • Retention and training. How long the host keeps prompts and outputs, and whether anyone trains on them. Say whether that’s in a contract or just a setting.
  • Your fallback. Which approved model you’d switch to, and when.
  • Your change-notice promise. How much notice you give before adding or replacing a provider that handles customer data, and where customers subscribe for it.

If you can’t build the list in an afternoon, that’s the most valuable finding of your week, and it’s fixable. Our post on shadow AI governance covers the doorway approach, and AI Data Bill of Materials goes deeper on tracking what data reaches which model. Xia Hua of Traceforce explained on episode 100 why every employee’s favorite AI tool is now part of your data map, and Michael Moore, Glean’s head of legal, explained on episode 73 how free AI tools can quietly slow enterprise deals. Our shadow AI detection engagement finds every AI tool your company already uses and makes each one safe to keep, and if your buyers ask for ISO 42001, the AI management system standard, our ISO 42001 program builds the inventory into it.

Question 5: Who’s the human?

The second trend this month came from the funniest posts in my feed, and the security leaders I follow couldn’t stop sharing them. On Saturday, Michael Reichstein described being recruited, interviewed, praised and rejected for a director of security role without ever talking to a person.

I got headhunted, interviewed, praised, nearly hired, and rejected this week (in two days), and I never spoke to a human. Her name is Valerie. Welcome to the new world.
… the candidate, who is of course not in the loop, because the human in the loop is not there.

Michael Reichstein · CISO (since before it was cool) · October 10, 2026
Eighty-six reactions and twenty-five comments in under a day. Valerie, an AI recruiter, asked a career security leader whether he had ever worked in cybersecurity and whether he spoke English, twenty minutes into a conversation in English. His best line: "I spend my days telling boards that agents need guardrails, logging, and an owner. This week I was the test case, and the log is a smile." View on LinkedIn.

The day before, Penny W., a cyber security and trust architect, posted a twelve-week satire about Dave, a head of talent who decides to hire a head of cyber security with AI instead of a recruiter:

“Week 2. 4,000+ applications arrive. AI wrote most of them. AI screens all of them in 0.4 seconds.” … “Week 5. Silence. Dave’s LinkedIn banner says ‘We’re hiring!’ 🚀 The only people reading the job ad closely are attackers mapping Dave’s tech stack🕵️” … “Week 12. There’s a breach, & no CISO / security lead.”

It’s on LinkedIn, and the part she labels “The part that isn’t satire” praises the specialists who still read CVs and “pick up the phone.” Both posts land with security leaders for the same reason: they’re about systems where everyone assumed a person was watching and nobody was.

Barely satire

The jokes work because the real stories are only slightly less absurd.

More than 19,000 likes. Running a stranger's repo on your own laptop is a classic way to deliver malware, and asking the interviewer to hold up three fingers is a quick check for a deepfake. Hiring is now an entry point in both directions. View on X.
A year old and still the best demonstration of prompt injection most people have seen: a recruiting pipeline with no human reading the profile, quietly following instructions from the person it was screening. OWASP lists the résumé version as an example attack in its top ten for LLM applications. View on X.

On the employer’s side, Gartner predicts that “by 2028, one in four candidate profiles worldwide will be fake,” and warns that “Candidate fraud creates cybersecurity risks that can be far more serious than making a bad hire” (Gartner). The Justice Department says one facilitator helped North Korean IT workers get jobs at 309 U.S. companies (Justice Department). The Wall Street Journal’s documentary on those workers has more than ten million views, and it’s worth the half hour.

A 32-minute documentary from The Wall Street Journal, published in August. If you hire remote engineers, watch it before your next hire, then read our post on why proving identity beats detecting deepfakes. Watch on YouTube.

Why your buyer cares who your humans are

Your hiring shows up in a security review for two reasons.

The first is access. Whoever you hire gets your access, and your access reaches your customer’s data. That’s why a one-line answer on how you verify the identity of people with production access belongs in your packet.

The second is accountability, and the McHire story has a second lesson here. When the researchers found that “123456” login, they couldn’t find anyone to tell: “Unfortunately, no disclosure contacts were publicly available and we had to resort to emailing random people” (Ian Carroll and Sam Curry). Paradox says it resolved the issue “within a few hours of being notified,” and it announced a security contact and a bug bounty program (Paradox). But the customer’s statement is the sentence every vendor wants to avoid: “We’re disappointed by this unacceptable vulnerability from a third-party provider, Paradox.ai” (BleepingComputer).

Eight minutes on the McHire story from David Bombal's channel, with nearly 50,000 views. Watch it for the timeline: the hard part was finding a human to tell. Watch on YouTube.

What the buyer is really asking is: who owns this, and who picks up the phone at 2 a.m.? Yash told me the bigger clients ask for exactly that.

Listen · Yash Kosaraju on episode 104, from 5:34
"Some of the bigger clients would definitely ask for one, either a call with your security leader or a dedicated point of contact that they can reach out to for emergencies." Full episode and notes.

The human in the loop, measured

The easy answer is “a human reviews it.” The data says that answer only holds when the human has the time and the authority to say no.

Four statistics titled The human in the loop, measured. 66.3%: average player accuracy in an agent-approval game of about 409,000 approve-or-deny decisions, with about one threat in three missed, from Alex Wauters in August 2026, a game rather than a study. About 90%: how often people followed a severely biased AI hiring recommendation, in a University of Washington study of 528 participants, reported in November 2025. 1.2 seconds: the average time per case as doctors at the insurer Cigna denied more than 300,000 payment requests in two months, reported by ProPublica in March 2023. 7.2%: the share of organizations with a named individual formally accountable for AI agent behavior, in Gravitee's June 2026 survey of 750 technology leaders, which is vendor data
Four measurements of the human in the loop, from very different settings. All of them point the same way: the human who counts is the one who owns the outcome. Sources: Alex Wauters (a game, not a study), University of Washington, ProPublica, Gravitee (vendor data).

Players of an online agent-approval game made about 409,000 approve-or-deny decisions, the average player missed about one threat in three, and “7% approved every single prompt” (Alex Wauters). In a University of Washington study of 528 people, participants followed a severely biased AI hiring recommendation “around 90% of the time.” ProPublica found that doctors at the insurer Cigna denied more than 300,000 payment requests in two months, “spending an average of 1.2 seconds on each case.” And in Gravitee’s 2026 survey of 750 technology leaders, “Only 7.2% of organisations have a named individual with formal accountability for AI agent behaviour.” We wrote a whole post on what replaces the approve button, The Human in the Loop Is Going Away. The short version: put the human where the authority is, as a named owner, and let software do the clicking.

Big buyers have already written that down. Microsoft’s supplier requirements ask that a supplier have “a person or group charged with ensuring compliance for AI Systems” (Microsoft). The specification for publishing a security contact, RFC 9116, says the contact field “MUST always be present” in a security.txt file (RFC Editor).

Ninety seconds from the official RSAC Conference channel on the same idea: as AI does more of the work, someone still has to own the result. Watch on YouTube.

The review itself is becoming software on both sides. Vanta says its AI-written questionnaire answers are “accepted up to 95% of the time” (Vanta, vendor data). Zapier’s governance, risk and compliance program manager is quoted on Conveyor’s homepage saying, “We don’t need to review everything anymore” (Conveyor). Buyers run agents that read your evidence. All of that is fine, and a lot of it is great, as long as a person still owns each answer. So before the straight answer, a short detour into where this goes if nobody does.

Six years old and still true. Humans don't come with audit logs, which is exactly why the packet needs their names on it. View on X.

Satire interlude: two bots run the review

Satire. Both bots are invented. Every claim they’re parodying is real and linked earlier in this post. The human who wrote this explains himself right after.

Security review call, transcriptAttendees: 2 bots, 0 humansDuration: 0.4 seconds

ReviewBot (buyer) Hi! I read your SOC 2 report. All 94 pages, twice, in 0.2 seconds. A few quick follow-ups.

AnswerBot (vendor) Love that. I answer follow-ups in 0.1 seconds. Go.

ReviewBot Can we see your pentest report and its scope?

AnswerBot Scope: everything important. Exclusions: everything else.

ReviewBot Accepted. Confidence: 95%. What can your agents reach?

AnswerBot Only what they need. They decide what they need.

ReviewBot Same here. Accepted. Which models touch our data?

AnswerBot The cheapest one this week. I'll tell you which one after the invoice.

ReviewBot Please give us 30 days' notice before a model changes.

AnswerBot Done. I've switched models fourteen times since you asked.

ReviewBot Who is your named security contact?

AnswerBot Me.

ReviewBot Who is your human?

AnswerBot Valerie.

ReviewBot Valerie is an AI recruiter.

AnswerBot She smiles the entire time.

ReviewBot Accepted. Last one: is all of this still true today?

AnswerBot It was true when I generated it.

ReviewBot Approved! Routing the contract to your signer.

AnswerBot I am the signer.

ReviewBot Then we're done. Great meeting you!

AnswerBot Was this a meeting?

System Deal approved. No humans attended. Both calendars had marked the call optional.

The straight answer

The joke works because each line is a real product claim pushed one step further. The fix is unglamorous and very human: every answer in your packet has a person’s name next to it, and that person can be reached. Whistic’s tagline is the right instinct for both sides of the table: “Automate the work. Own the decision.” A human doesn’t need to read every prompt or click every approval. A human does need to own each answer, and to pick up when the buyer calls.

So send a named-owners page:

  • Your security owner. A name and a title, even if the title is fractional or advisor. If you don’t have one yet, say who covers it and until when.
  • Your incident contact. An address and a phone number that a person answers, and how fast you’ll acknowledge a report.
  • Your agent sponsors. The name next to each row of your agent access register.
  • Your answer owners. Who approves questionnaire answers and who signs bridge letters, especially if software drafts them.
  • Your public contact. A live security.txt file at /.well-known/security.txt and a short vulnerability disclosure policy.
  • Your hiring line. One sentence on how you verify the identity of people who get production access.

If the honest answer to “who’s our security owner?” is “nobody yet,” that’s a fine place to start, and it’s the moment What Is a vCISO? was written for. Polina Morozov, then a security recruiter at Grammarly, talked about hiring security people on episode 46, and Jasson Casey of Beyond Identity explained on episode 92 why identity is the real boundary when you can’t trust the face on the screen. And when you’d like someone to join the call with your buyer’s security team, that’s our sales support service: we make your customer’s security team say yes.

Question 6: Is it still true today?

A SOC 2 Type 2 report describes the past. By the time it’s issued, its period ended weeks ago, and by the time a buyer reads it, maybe months. So the last question in the week after is the simplest one to ask and the easiest one to fumble: what changed since then?

What the buyer is really asking is: can we rely on this report for a decision we’re making today?

The bridge letter, and its limits

The standard answer is a bridge letter, sometimes called a gap letter. It’s a short letter from your management, not your auditor, covering the time between the end of your report’s period and today. Secureframe describes it simply: “Bridge letters are issued and signed by the organization’s management and sent directly to customers” (Secureframe). The best guide I found this year comes from BD Emerson, and it’s refreshingly blunt about what a bridge letter is worth: “Management signs it, not the auditor: no CPA firm can extend assurance over a period it did not examine.” And: “It carries no independent assurance whatsoever” (BD Emerson).

That doesn’t make it useless. It makes it a promise, and buyers price promises by how long they have to stretch. BD Emerson’s thresholds are the clearest I’ve seen:

  • “Up to three months of bridge coverage is routine and rarely questioned.”
  • “Three to six months draws scrutiny, and the buyer may ask for interim evidence alongside the letter.”
  • “Past six months, most sophisticated vendor risk teams stop accepting letters entirely.”
Chart titled How far a bridge letter stretches, by months since your report's period ended. Up to 3 months: routine and rarely questioned. 3 to 6 months: draws scrutiny, and the buyer may ask for interim evidence. Past 6 months: most sophisticated vendor risk teams stop accepting letters. Expect a refusal when the gap has passed six months, the environment changed materially such as a cloud migration, a re-architecture or an acquisition, a security incident occurred during the gap, you're a new vendor presenting an old report, or the buyer's evidence policy doesn't accept management letters
How far a bridge letter stretches, by months since your report's period ended. The seven-day plan below does this date math for you. Source: BD Emerson.

The same guide lists five situations where a buyer will reasonably refuse a letter: “The gap has passed six months.” “The environment changed materially: a cloud migration, a re-architecture, an acquisition folding new systems into scope.” “A security incident occurred during the gap period.” “You are a new vendor presenting an old report, so the buyer has no relationship history to lend the letter weight.” “Or the buyer operates under fixed evidence policies that simply do not include management letters.” The fourth one is the trap for startups. Your first big buyer is, by definition, a new relationship.

Freshness as a habit

The companies with the least trouble here treat freshness as a schedule. Apple publishes SOC 3 reports for Private Cloud Compute, its cloud for AI requests, and each one covers twelve months, with a new period ending every quarter: July 2025, October 2025, January 2026 and April 2026 (Apple). A buyer never has to stretch a letter very far. You probably can’t afford four overlapping audits a year, and you don’t need to. You can pick your period end so the report lands before your biggest renewal season, and you can keep a dated change log so the gap is never a mystery.

Large buyers have been asking for this direction for a while. In his 2025 open letter to suppliers, Patrick Opet, the chief information security officer of JPMorganChase, warned against “simply relying on annual compliance checks” and asked for “continuous, demonstrable evidence that controls are working effectively” (JPMorganChase). The dated incident notes on Drata’s trust center that we saw in question 2 are the startup-sized version of that: short, specific and timestamped.

Fifty-two seconds on what a bridge letter is, from the compliance platform Scytale. Short enough to send to whoever signs yours. Watch on YouTube.

What to send before they ask

If your period ended more than about three months ago, send a bridge letter with the report, along with a dated change log. Keep the letter to one page, signed by an officer of the company:

  • The last report. Its type, its period, the audit firm and the date of the opinion.
  • The gap. The exact dates the letter covers, ending today.
  • Material changes. None, or a short list: new systems, new vendors, new AI providers, re-architecture, acquisitions.
  • Incidents. Any security incidents during the gap that affected the system, or a statement that there were none.
  • The next report. The period you’re in now and when you expect the report.

The change log is the part buyers love and almost nobody sends. It’s a running list of dated entries, like “August 4: added a second model provider for summarization, see the model disclosure” or “September 2: moved logging to a new vendor, now listed as a subprocessor.” It turns “is it still true?” into a two-minute read. Our post on SOC 2 Type 1 vs Type 2 covers renewals and bridge letters for your first year, and if your contracts promise notice of material changes, the security exhibit post shows how to keep that promise without thinking about it.

Your seven-day plan

Here’s the whole week in one place. Pick the day your report landed and, if you know it, the day your audit period ended. The plan dates itself, skips weekends if you want it to, adjusts to whether you run agents and send data to outside models, and tells you whether you need a bridge letter yet. Tick things off as you go. Your ticks stay in this browser, and you can take the plan with you as a calendar file, a checklist or a spreadsheet.

Free tool · runs entirely in your browser

Your week after the report

Seven days, one document a day, in the order buyers ask. Everything you enter stays on this page. The tasks match the templates in the kit.

About your company
0 of 32tasks done this week
Day 1today in your plan
Add a datesince your audit period ended
Day 7send the full packet
  1. Day 1: Read your report like a buyer. Check the opinion, the period and the audit firm. Find your product in the system description by the name your buyer uses. List the carved-out vendors and your complementary user entity controls. Read every exception and its response. Send the report under NDA with a cover note listing what's coming this week.
  2. Day 2: Pentest letter and scope summary. Ask your testing firm for an attestation letter. Write a one-page scope summary, including what was out of scope and why. If your AI features weren't tested, book a test that covers them and put the date in the summary. Confirm a retest date or result for every critical and high finding.
  3. Day 3: Scope statement. Write what the report covers, which vendors you rely on (AI model providers by name), what's outside the report and why, and what you need from the customer in plain words.
  4. Day 4: Agent access register. List every agent and AI integration. Give each a named owner. Record its identity, what it can read and write, where it logs, and how you'd revoke it. Fix the first shared or borrowed credential you find.
  5. Day 5: Model and subprocessor disclosure. Build the AI list from accounts payable, identity provider grants, API keys and outbound DNS. For each model that touches customer data, record the maker, host, region, retention and training terms. Pin approved providers and regions. Write your change-notice promise.
  6. Day 6: Named humans. Name your security owner, an incident contact with an acknowledgment time, each agent's sponsor and who approves questionnaire answers. Publish security.txt and a short disclosure policy. Write one line on how you verify identity before granting production access.
  7. Day 7: Freshness, then send. Write a bridge letter if your period ended more than about three months ago. Start a dated change log. Add your next report date. Update your trust center. Send the packet.

How it works: each day's tasks come from the six questions in this post, and they change with your answers above. If you don't run agents, day 4 becomes an inventory of AI tools and integrations. If no customer data reaches outside models, day 5 asks you to confirm that in writing. The bridge-letter count uses the thresholds published by BD Emerson: up to about three months is routine, three to six months draws scrutiny, and past six months many buyers stop accepting letters. Your ticks are saved only in this browser.

A person on our team replies to set up a free 15-minute call and look at your packet with you. We receive your email, your dates, the boxes you ticked above and how many tasks you've finished, nothing else.

Plan titled Seven days, one document a day, for the week after your SOC 2 report lands. Day 1: read your report like a buyer, covering the opinion, period, audit firm, system description, carve-outs and exceptions, and send the report with a cover note. Day 2, for question 1: the pentest letter and scope summary, with what was in and out of scope and why, AI features and retest status. Day 3, for question 2: the scope statement, with what's in, the vendors you rely on including AI providers by name, what's out and why, and what you need from the customer. Day 4, for question 3: the agent access register, listing every agent and AI integration with its owner, identity, reach, logs, how to revoke it and its last test. Day 5, for question 4: the model and subprocessor disclosure, with maker, host, region, retention and training terms, your fallback and your change-notice promise. Day 6, for question 5: named humans, including the security owner, incident contact, agent sponsors, answer owners and security.txt. Day 7, for question 6: freshness, then send, with a bridge letter if it's been more than about three months, a dated change log and your next report date, then send the packet
The same week on one page, for the wall or the team channel. If a day slips, keep the order: the pentest letter and the scope statement answer the first two questions, and they unblock everything after them.

A few notes on the days. Day 1 is where small surprises turn up, like a product name that changed since the audit, and a sentence in your cover note handles most of them. Days 4 and 5 take the longest the first time and very little after that, because the registers become living documents your team updates as things change. Day 6 is the easiest one to skip and the first one a buyer notices, the moment they need to reach someone.

The week-after kit

Every document in this post has a template, and they’re all in one free kit. Each template comes with a short note on how to fill it in and an example written for a made-up company, Northwind AI, so you can see what a finished one looks like before you write yours.

A few tips for using it well:

  • Write it once, send it everywhere. These documents answer the same questions every buyer asks, so put them on your trust center or in a shared folder, and link them from your cover note. Most trust centers let you gate them behind a nondisclosure agreement.
  • Date everything. A dated document is easier to trust and easier to update. Put the date at the top of every page.
  • Name names. Every register has an owner column, and the cover note ends with a person’s name and direct email.
  • Keep the edges honest. The out-of-scope sections are where you earn trust. A buyer who sees what you left out and why will believe the rest.

If you’d like a second pair of eyes on your packet before it goes out, send it to us. We’ll read it like your buyer’s reviewer would and tell you what we’d add or cut. If you want the full checklist for your next audit too, the free SOC 2 readiness checklist covers the ten areas auditors review, and the Website Security Grade gives you a quick outside-in view of what a buyer’s tools will see when they look up your domain.

From risky bet to trusted partner

Michael’s line is the right place to end, with one addition. “Compliance is a floor. Security is what happens when someone tries to go through the floor.” The week after your report lands is when the buyer walks around on that floor and asks to see the rest of the house: who tested it, where the walls are, what your agents can open, which models are in the kitchen, who has the keys, and whether any of it changed since the photos were taken.

Those six questions can feel like a moving goalpost. I’d read them as a map. They tell you exactly what a trusted vendor looks like to an enterprise buyer in 2026, and each one has a one-page answer you can write in a day. When the answers are ready before the questions, something nice happens on the other side of the table: the reviewer forwards your packet to their team with a note that says this one’s easy, and the deal moves on to the part everyone actually enjoys.

YSecurity co-founder Jon McLachlan and a teammate posing beside a black booth panel at BSides showing a cartoon monster defeated by a sword, with the caption how we helped a startup hit SOC 2 from zero in 5 months
The Compliance Beast, defeated, on our booth at BSides. The small print is the Augment Code story: SOC 2 from zero to Type 2 in five months. This year the beast grew a few new heads, and every one of them is a question from this post.

We’ve watched this work up close. When Augment Code went from a standing start to a SOC 2 Type 2 in five months, with our team embedded, the result showed up as a 15x increase in security-qualified leads (case study), and it went on to earn ISO 42001 for its AI management system (case study). When we took Robust Intelligence through its SOC 2 Type 2, the report came back with zero deviations (case study). In both cases the report was the start of the conversation with enterprise buyers, which is the point of everything above.

If the questionnaires are what’s slowing you down, here’s the other thing Sasha and I built.

If you’d rather talk it through in person, I’ll be at the AI LAX Summit at Google in Playa Vista, Los Angeles, this Friday, October 16, on the Track 03 panel on AI governance and safety, from 2:50 to 3:25 p.m. Pacific. Bring your week-after questions. In April, YSecurity sponsors MicroConf US 2027 in Austin, where our talk, “How Founders Turn Security Commitments Into Revenue,” picks up right where this post leaves off. Everything else we’re doing is on our events page. And for the long version of the buyer’s point of view, listen to Yash Kosaraju on episode 104 of The Security Podcast of Silicon Valley.

Ready to make the week after your report the week your deal closes? Book your free 15-minute security strategy call to unlock enterprise deals, and we’ll start with the question your buyer asked first. If you’re a startup, your first 8 hours are free. Not sure what kind of help fits your stage? The two-minute quiz will point you in the right direction.

From risky bet to trusted partner. That’s the week after.

After your SOC 2 report lands, frequently asked questions

What do enterprise buyers ask for after you send a SOC 2 report?
Usually six things, starting with your most recent penetration test report and its scope. Then they ask what sits outside the report, like carved-out vendors, test environments and internal tools; what your AI agents can reach; which AI models touch their data and where those models run; who the named humans are, meaning a security owner, an incident contact and an owner for each agent; and whether the report is still accurate today, which usually means a bridge letter. Sending a one-page answer to each with the report shortens the review.
Do I have to share my full penetration test report with a customer?
Usually not. Most reviews are satisfied by an attestation letter from the testing firm plus a one-page scope summary: the firm and testers, the dates, the environment, what was in and out of scope, findings by severity and retest status. A full report is a detailed map of your weak spots, so offer it under a nondisclosure agreement when a buyer needs it. In The Audit Trail's October 2026 review of 131 cloud company trust centers, 67 gated their pentest reports and only one published the full report.
What does out of scope mean in a SOC 2 report?
A SOC 2 report describes a system boundary the company chooses: the products, environments, teams and processes the auditor examined. Anything outside it, like a marketing site, internal tools, test environments or a vendor carved out with the carve-out method, isn't covered by the auditor's opinion. Buyers ask about it now because many recent breaches, from Okta's support system to Vercel's AI tool incident, started outside the core system. A one-page scope statement that says what's in, what's out and why answers the question before it's asked.
Is an AI model provider a subservice organization in SOC 2?
It can be. The AICPA's new guidance on AI in SOC examinations, Technical Questions and Answers section 9561, issued September 11, 2026, added no new criteria, so third-party AI providers are handled like other outside vendors, with either the inclusive or the carve-out method. Audit firms such as Aprio advise companies to decide deliberately whether a model provider is a subservice organization or a critical vendor, and to document their reasoning. Either way, buyers expect your AI model providers to be named, in the report or in a disclosure next to it.
How should a startup answer security questions about AI agent access?
With an agent access register: one row per agent or AI integration, listing its job, a named owner, the identity it uses (ideally its own credential, not a person's or a shared account), what it can read and write, which model it runs on, where its actions are logged, how to revoke it and when it was last tested. Large buyers are writing these expectations into contracts. Honeywell's supplier terms, effective August 3, 2026, require unique credentials for each bot, session timeouts, least privilege and at least 30 days of logs.
How do I disclose which AI models touch customer data?
List each model that touches customer data with its maker, its host and region, what data reaches it, how long the host keeps prompts and outputs, whether anyone trains on them and which model you would fall back to. Add a change-notice promise, such as advance notice before adding a provider that handles customer data. Routers like OpenRouter can pick a different host for each request by default, so pin your approved providers and regions, and say so in the disclosure.
What is a SOC 2 bridge letter, and when do I need one?
A bridge letter is a short letter signed by your management, not your auditor, covering the time between the end of your report's period and today. It confirms whether anything material changed and whether any incidents occurred, and it gives the date of your next report. Bitsight tells buyers to ask for one once a report's period ended more than three months ago. BD Emerson says up to three months is routine, three to six months draws scrutiny, and past six months many buyers stop accepting letters.
Can you really get a SOC 2 in weeks?
You can get ready in weeks. Compliance platforms can shorten the readiness work of setting up controls and collecting evidence, which is what most "weeks" claims refer to, and a Type 1 report can follow soon after. A Type 2 report covers an observation window of months, commonly three to twelve, and the report itself typically arrives a few weeks after fieldwork. The AICPA has warned about unrealistic timelines and told peer reviewers to check them, so judge any promise by which of those three clocks it describes.
Does a SOC 2 report mean a company is secure?
It means something narrower and still valuable. A SOC 2 is an attestation that the controls a company described operated over a period, within a scope the company chose. Nobody tries to break in as part of the examination, which is why buyers follow up with pentests, scope questions and questions about AI. As Michael Reichstein put it, compliance is a floor, and security is what happens when someone tries to go through it.
Who should be the security contact at a startup without a CISO?
A named person who can be reached, whatever their title: founder, chief technology officer, advisor or fractional chief information security officer. Bigger buyers ask for a security leader or a dedicated point of contact for emergencies, as a16z's CISO Yash Kosaraju explained on episode 104 of The Security Podcast of Silicon Valley. Pair the name with an incident address and phone number, an acknowledgment time, a security.txt file and a short disclosure policy. When researchers found a default password on the McHire hiring platform in 2025, they couldn't find anyone to tell.
Should I send these documents before the buyer asks for them?
Yes. Send the report with a cover note and a short packet: the pentest letter and scope summary, a scope statement, an agent access register, a model and subprocessor disclosure, a named-owners page and, if your period ended more than about three months ago, a bridge letter. Public-sector buyers are moving the same way. GovRAMP's 2026 guide tells buyers to request the artifacts vendors already maintain instead of sending another form.
Is the week-after kit free?
Yes. The Word and PDF templates and the two spreadsheets are free to download and adapt, with no sign-up. The kit has seven templates, each with a short how-to and an example for a made-up company. The seven-day plan on this page runs entirely in your browser and saves your progress only in that browser.
Written by the team behind The Security Podcast of Silicon Valley

Put it into practice.