Prove compliance for high-risk AI systems.

Every agent session is captured as a structured trace — model used, prompts, completions, tool calls, policy evaluations, and human review actions. Traces are immutable after capture and retained per configurable policy.

Evidence packs include human-readable explanations of agent decisions, data sources, processing logic, and which controls were applied. Formatted for regulatory submission.

Every high-risk action is tracked with escalation path, reviewer identity, decision, and timestamp. SLA violations are captured as findings.

Cost spikes, behavioral loops, unexpected tool access, policy violations, and PII exposure are recorded as findings with severity classification.

Evidence packs provide the documentation layer for conformity assessments with trace records and review trails.

Deployer compliance reports with evidence collection status, retention policy, monitoring coverage, and oversight summary.

PII exposure across sessions, policy violation patterns, escalation frequency, and remediation history. Structured evidence for fundamental rights impact assessments.