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Solution

Shadow AI

Find the AI tools your employees already adopted, then govern instead of chase.

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The problem

Every team has quietly adopted its own AI stack: browser extensions, note-takers, code assistants, transcription bots. Each one is an unreviewed data processor.

How it goes wrong

A recruiting team connects an AI note-taker to interview calls. It transcribes candidate PII and stores it on servers in a region your privacy policy never contemplated.

How teams run it

Discover

OAuth grant analysis, egress patterns, and endpoint telemetry surface every AI tool in use, including browser extensions.

Assess

Each tool is scored by the sensitivity of data it has touched and the access it holds.

Rationalize

Approve the useful tools with guardrails, migrate users off the risky ones, and keep watching for new arrivals.

What you get

  • Continuous inventory of AI tools touching corporate data
  • Risk scoring per tool: data reached, permissions held, vendor posture
  • Graduated response: allow, allow-with-redaction, or block
  • A sanctioned-tools catalog employees actually use
Who owns it
CISOIT & SaaS managementPrivacy office
Where it applies
Microsoft 365Google WorkspaceSlackGitHubEndpoints
27
median distinct AI tools found per 1,000 employees
60%
hold data access broader than their function needs

Products behind this solution

AI Security

Let your company use AI without your data training someone else's model.

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Data Discovery

Find sensitive data everywhere it lives, including the places nobody remembers creating.

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Data Loss Prevention

Stop sensitive data before it leaves, with actions precise enough to leave work unblocked.

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Make shadow ai a solved problem.

Walk through the operating model live, on your environments, with a security engineer.

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