Product

The continuous assurance platform for AI agents.

Observe agent behavior → measure control health → prove evidence.

Modules
Control topology
Agent Runtime
Trace Stream
Control Signals
Drift Engine
Alert Routing
01 / Continuous control monitoring

Convert runtime behavior into control signals

Track reliability, safety, tool-call behavior, and data exposure as time-series control signals. Alert when control health drifts.

  • Turn traces and evals into Control Signals (time-series)
  • Track reliability, safety, tool-call behavior, and data exposure
  • Alert when control health drifts
Evidence pipeline
Collect
run traces + scorer outputs
Normalize
control-mapped evidence objects
Version
checksums + source provenance
Export
audit pack + freshness state
Current audit pack
AIUC-1_Q1_2026.zipREADY
02 / Evidence vault

Keep audit evidence continuously current

Store evidence as versioned, reproducible artifacts — not ad-hoc screenshots. Evidence includes run provenance, timestamps, source pointers, and freshness rules. One-click Audit Pack export.

  • Versioned, reproducible evidence artifacts
  • Run provenance, timestamps, source pointers, freshness rules
  • One-click Audit Pack export
Release guardrails
PR #412 / release-candidate
Enable autonomous claim-routing flow
Prompt policy coveragepass
Tool authorization diffwarn
PII boundary scorerpass
Evidence freshness gatefail
Merge blockedRe-run evidence freshness gate
03 / AI Code Review Agent

Stop control regressions before merge

Scans agent code and configs for control-breaking changes, maps findings to controls, and auto-invalidates stale evidence to trigger re-tests.

  • Scans agent code and configs for control-breaking changes
  • Maps findings to controls (tool auth, PII filters, retention, logging)
  • Auto-invalidates stale evidence and triggers re-tests

See the platform in action

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