AI Detection and Response
Penaxtra correlates raw runtime gateway signals into prioritized threats, then closes the loop by containing the offending agent and promoting the firing rule into a signed blocking policy.
Last reviewed July 2026
The gap AI Detection and Response closes
A runtime AI gateway emits a high volume of low-level events - blocked requests, unusual tool chains, model drift, traffic spikes. On their own they are noise. Security teams need them grouped into a small set of triageable threats, with a way to actually respond to what it finds.
How Penaxtra delivers AI Detection and Response
Penaxtra runs a correlation tick that groups gateway signals per agent and per session into threats, scored by severity and recency. Each threat links back to its underlying signals. Response is built in: containment revokes the offending runtime gateway agent, and promote-to-rule mints a persistent, Ed25519-signed BLOCK rule from the gateway rule that fired - so the same attack is stopped fleet-wide on the next policy fetch.
AI Detection and Response capabilities
Severity- and recency-ranked threat queue with drill-down to the source signals
Closed-loop containment: revoke the offending runtime gateway agent in one action
Promote-to-rule: mint a signed, tenant-scoped blocking policy from a firing rule (idempotent)
Lifecycle states: open, investigating, contained, resolved, false-positive
Every action written to the append-only audit log
AI Detection and Response compliance mapping
Supports OWASP LLM Top 10 monitoring obligations, NIST AI 600-1 MANAGE-2.4 (incident response) and MEASURE-2.7, MITRE ATLAS detection/response tactics, and EU AI Act Article 15 (accuracy, robustness, cybersecurity) and Article 72 (post-market monitoring).