Evidence forensics for AI workflows.
Reconstruct what happened across prompts, outputs, tool calls, findings, reviews, and exports without taking ownership of the workflow.
Evidence outputs
The Insight
When an AI workflow fails, teams need reviewable evidence. Our forensic analysis service implements pipelines for prompts, outputs, tool calls, findings, reviewer actions, and retention records.
Session Reconstruction
Rebuild the material context around a workflow so security, legal, and audit teams can understand what happened.
Finding Analysis
Trace the source of drift, sensitive-data exposure, missing review, or abnormal behavior and attach the result to a governance record.
Compliance Evidence Export
Generate reports and evidence bundles that help prove AI workflows stayed within defined governance boundaries.
Observability Metrics.
Key indicators for AI compliance evidence health.
- Trace Retention
- 365 Days
- Log Granularity
- Per-Token
- Replay Fidelity
- 100%
- Alert Latency
- < 100ms
- Policy Coverage
- Full Scope
- Data Export
- JSON/Parquet
Forensic FAQs
Start Tracing.
Do not let your agents run without evidence. Implement self-hosted observability today.