Govern the AI your employees already use.
Discovered the moment they appear, scored by risk, brought under one-click guardrails · ChatGPT, Claude, Copilot, Gemini, Cursor.
Your AI landscape, today
The problem
- 01
Employees adopt AI faster than IT can track · personal accounts, browser tabs, IDE plugins.
- 02
Corporate data · code, customer records, contracts, flows into models you never vetted.
- 03
"Block everything" backfires. You need graded control, not a wall.
- AICategory · generative AI tool
- PersonalPersonal account · not corporate SSO
- No SSOCorporate SSO not enforced
- ForeignData leaves the jurisdiction
How we solve it
Discover every AI tool
Web, desktop and embedded AI (IDE plugins, CLI tools, local models), caught by endpoint agent + browser extension + identity correlation · not network sniffing.
Score the real risk
Residual 0–100 across compliance, security and behavior, with corporate-SSO vs personal-account instance awareness.
One-click guardrail ladder
Sanctioned → Monitored → Conditional → Blocked, enforced at the endpoint: paste / upload / download control with in-context coaching.
EU AI Act alignment
Every triggered risk maps to EU AI Act articles, alongside KVKK / GDPR / ISO 27001 / NIST AI RMF. Automatic risk-tier classification on the roadmap.
How it works
Detect on the endpoint → classify against the risk engine → apply a guardrail preset → extension and agent enforce it, logging every block and every justified override.
What you get
“One view of which AI tools were caught last week, who used them, and what was blocked · sanctioned tools stay frictionless, risky ones get coached or stopped.
Block · paste to ChatGPT
Enforcement log
