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Services Shadow-AI Detection & Mitigation

Corporate Shadow-AI Detection & Mitigation

Find every AI tool your company already uses — and make each one safe to keep.

Your team adopted AI early — that initiative is worth keeping. We inventory every AI tool, browser extension, and API key touching company data, secure the risky ones, and give the rest a paved road — so you keep all the productivity, with your data under your control.

5.0Gartner Peer Insights · 4.8G2

Get a free shadow-AI exposure review

Tell us your stack. We'll come back with where AI is most likely already touching your data — and the first three places to look.

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What is shadow AI?

Shadow AI is the AI your employees use without approval or oversight: personal chatbot accounts holding company data, browser extensions that read every page, AI features quietly switched on inside approved SaaS, and API keys wired into side projects. It's the fastest-growing form of shadow IT — and unlike most shadow IT, it ships your source code, customer records, and credentials to third parties by design. Detection means finding all of it; mitigation means replacing bans that don't work with sanctioned alternatives that do.

What you get

01

A complete shadow-AI inventory

Network egress, SSO and OAuth grants, browser extensions, and expense data — correlated into a live map of every AI tool touching company data, ranked by what each one can actually reach.

02

Triage that rewards initiative

We separate harmless drafting aids from tools that need enterprise controls before they touch source code or customer PII. Your people found real productivity — we make it safe to keep.

03

A paved road, not a ban

Sanctioned alternatives configured with enterprise controls — SSO, retention off, no training on your data — rolled out with an AI use policy short enough that people actually follow it.

04

Guardrails that keep it clean

Egress monitoring, DLP rules tuned for prompts and file uploads, and OAuth allowlists — so the next tool an employee discovers surfaces in days and gets a fast, informed yes.

How it works

  1. 1

    Discover

    Typically 1–2 weeks.

    We build the inventory from what your systems already log — egress, identity, extensions, spend. No agents on laptops, no reading anyone's chats. You see the full map, usually for the first time.

  2. 2

    Mitigate

    Prioritized by exposure.

    Risky data flows get closed, credentials get refreshed, and the useful tools get enterprise agreements and safe configurations. Each decision is made with you, not to you.

  3. 3

    Govern

    Ongoing.

    A usable AI policy, monitoring that flags new tools as they appear, and a fast approval lane for the next one an engineer wants — so governance keeps pace with adoption instead of chasing it.

FAQs

Corporate Shadow-AI Detection & Mitigation questions, answered

How do you find shadow AI without spying on employees?
We work at the metadata layer: network egress, SSO and OAuth grants, managed-browser extension inventories, and expense data. That's enough to know which tools are in use and what they can reach — without reading anyone's prompts, keystrokes, or screens. That respect is what keeps the trust you need for healthy adoption.
Should we just block ChatGPT and Copilot?
The pattern that works best is a paved road: sanctioned tools with enterprise controls that are genuinely good, plus clear rules for what data can go where. People take the paved road when it's the fastest route — and you keep full visibility along the way.
What if our data is already inside someone's model?
We assess what actually left — which tools, which data classes, under which terms of service — then work the levers that exist: provider data-handling settings and agreements, deletion requests, rotation of any exposed credentials, and a decision framework for whether anything is disclosable. The answer is usually very recoverable.
Does this help with SOC 2 or ISO 42001?
Directly. The inventory feeds your asset and vendor registers, the policy and monitoring become controls, and for ISO 42001 the whole program is core AIMS evidence. If you're pursuing either with us, this work does double duty.
We're a small company. Is this overkill?
Small companies are where AI adoption moves fastest — every engineer empowered. A right-sized engagement is short, and the earlier it runs, the more value it protects. We bill in 15-minute increments with an optional monthly cap, so small stays small.
Your team already found the productivity. Now make it safe to keep.

Know where your AI actually is

Send your company email and we'll come back with your shadow-AI exposure review.

5.0Gartner Peer Insights · 4.8G2