AI tool discovery
AI Tool Discovery Across DNS, Proxy, and SSO Logs
Discover 1000+ AI applications from workplace telemetry, map usage by team, and decide which tools should be approved, reviewed, or blocked.
What this search usually needs to answer
AI tool discovery gives IT a current map of the AI apps employees already touch, including tools that were never submitted for procurement.
Best-fit scenarios
- A company wants to replace anecdotes with a real AI application inventory.
- IT needs to find AI browser tools, assistants, research apps, meeting tools, image tools, and model portals.
- Security wants to compare discovered tools with existing vendor risk reviews and SSO approvals.
Operating steps
- Import DNS logs, proxy logs, secure web gateway exports, or SSO metadata.
- Match domains, OAuth apps, and vendor names against a maintained AI application catalog.
- Deduplicate activity into tools, users, departments, and trend lines.
- Apply policy decisions and schedule ongoing discovery so new tools do not stay invisible.
Common risks to avoid
- Domain-only matching can confuse documentation pages, CDNs, and vendor subdomains without context.
- Niche AI tools appear quickly, so the catalog needs regular updates.
- Discovery should feed policy decisions rather than creating a static spreadsheet.
How ShadowAI Guard fits
ShadowAI Guard identifies AI apps across common log sources and turns the inventory into risk scores, policy decisions, and executive-ready reports.