Caught in real time, not next quarter.
PII, jailbreaks, hallucinations, and drift — caught before the output reaches a user. Detect is the monitoring motion: guardian agents on every input, output, and agent-to-agent call, feeding a continuously updated risk score.
Guardian Agents
A roster of 18 always-on guardian modules monitors AI system inputs, outputs, behavior, and agent-to-agent traffic for the common classes of AI risk — each one configurable per system.
AI systems expose organizations on multiple proven harm vectors at once. Per-class detection in one platform — with every finding normalized to one schema — beats stitching point tools, because policy, risk, and audit work identically regardless of source.
In the app — /detect/guardians · /guardians/pii · /findings · /detect/telemetry
Risk Scoring
A continuously updated risk score for every registered AI system with predictive forecasting, presented as a leaderboard — with a FAIR-adapted quantitative model underneath.
Boards need a compact, legible per-system risk signal and a prioritization queue — not hundreds of findings to triage by hand. A tracked score is also evidence that an ongoing risk management system actually operates.
In the app — /risk/leaderboard · /risk/:system/simulation · /risk/board-export
Pre-Launch Risk Checks
A pre-launch check that evaluates a new AI system's registration attributes against a research-authored rule pack of known failure patterns — before anything ships.
A gap caught before launch costs far less than one found in production. The engine is deterministic — no ML inference — so results are reproducible, and every finding carries the rule, the matched condition, and the regulatory citation.
Detection Connectors
A connector framework that normalizes findings from third-party detection engines into the KoraSafe™ governance schema — so policy, risk, and audit work the same regardless of which engine fired.
Enterprise security stacks are fragmented, with existing investments in detection tooling. Connectors meet teams where they are instead of forcing replacement — and the mapping from raw engine output to specific regulatory articles is regulatory expertise, not just engineering.