One control plane unifies five security capabilities — from pre-deployment scanning to runtime enforcement to post-incident forensics. No point tools. No blind spots. No unprovable claims.
Every team ships AI faster than security can map it. The result is shadow models nobody catalogued, detection with no enforcement, and decisions you can’t prove after the fact.
Shadow AI nobody told security about — models, endpoints, and agents running in production with no owner and no controls.
Detection dashboards that flag problems but never stop them. By the time a human reads the alert, the data already left.
When the auditor asks what happened, you have logs you hope are complete — not signed, tamper-evident evidence.
Each capability works on its own and compounds with the others — discovery feeds enforcement, enforcement feeds evidence, evidence feeds your auditors.
Flagship — capability-scoped, attested, revocable authority for every agent and tool call.
LEARN MORE →Runtime protection on the wire — tiered inspection and DLP on every prompt and response.
LEARN MORE →The AI security command center — see, respond to, and sign every security decision.
LEARN MORE →ATLAS-mapped red-team campaigns, supply-chain scanning, and posture testing across the AI lifecycle.
LEARN MORE →A live, risk-scored inventory of every model, endpoint, and pipeline — including shadow AI.
LEARN MORE →Architected for model inference, agent workflows, and AI supply chains — not retrofitted firewalls.
Works with any LLM, any framework, any deployment pattern. No vendor lock-in.
Multi-tenant isolation, SPIFFE mTLS, OPA policy, and fail-closed defaults — built for regulated industries.
One demo shows discovery, enforcement, and signed evidence working together on your stack.