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Shadow AI Discovery

Find out which AI tools your people are already using — before a regulator or client does.

Every organization we audit has more AI in the building than leadership realizes. A free ChatGPT account linked to a personal Gmail. A browser extension that summarizes the meeting. An automation tool somebody connected to your CRM. We run a structured discovery: subscription audit, browser telemetry, network signals, user interviews. You get a ranked inventory with risk scores and remediation steps.

What’s included

The specifics.

  • Subscription and billing audit (SaaS spend management integration)
  • Browser extension and add-in inventory
  • Network / DNS signals for common AI endpoints
  • Targeted user interviews in each department
  • Ranked risk register with remediation steps
  • Written summary for leadership or audit committee

Who needs this

Any org preparing for an audit, responding to a client security questionnaire, or going through M&A diligence. Also organizations where leadership has said “I don't think we're using AI yet” — that's usually wrong.

FAQ

Shadow AI Discovery — common questions.

Will my employees be in trouble for what we find?+

That's your call. We recommend framing the discovery as amnesty — people come forward with what they're already doing, no blame, and we fix the governance. Punishing honesty kills the next round of disclosure.

How is this different from a general SaaS audit?+

It overlaps, but AI-specific tooling includes things a general SaaS audit misses: browser extensions, free-tier accounts, API keys pasted into scripts, LLM-backed features inside tools you already own.

Questions about shadow ai discovery?

Twenty minutes, real conversation, no pressure.