AI agents now make decisions your company is liable for — at machine speed, across vendors, often without anyone watching. Discover is the inventory motion: find every tool, model, and agent in use, and put each under a named owner.
Automatic detection of AI in use across the organization — ChatGPT, Claude, Gemini, copilots, and the agents developers spin up without a procurement touchpoint — surfaced as governance gaps for review.
Multi-vendor chaos is the privacy risk that shows up on every enterprise deployment: dozens of agents, vendors, and models — and when Agent A calls Agent B via MCP, who owns the output? Multi-source discovery avoids single-signal blind spots.
Every system catalogued, risk-classified, and lifecycle-tracked. One registry for every AI system and agent — its owner, autonomy tier, and data-class footprint — the record everything else attaches to.
KoraSafe™ is built around the agent. Policies, risk scores, findings, and evidence all hang off the inventory record, so accountability is never ambiguous: every agent has a name next to it.
An AI bill of materials for every registered system — base models, datasets, inference libraries, vendor APIs, and RAG sources — with continuous vulnerability scanning and vendor risk scoring.
AI libraries carry real CVEs, and most security teams don't scan them with the rigor applied to application dependencies. KoraSafe™ generates the documentation regulators point toward and watches it continuously.