Compliance Overview
Informational only. This page describes technical controls Behavry provides. It is not legal advice. Certifications, audits, and regulatory filings should be reviewed with counsel and qualified assessors.
What Behavry covers
Behavry is the evidence layer for AI agent activity. For every policy-relevant event — tool calls, DLP hits, behavioral anomalies, HITL decisions, user actions — it produces a hash-chained Decision Trace that can be queried, exported, and pushed into downstream systems. On top of that raw evidence, Behavry ships 10 framework mappings that turn the log into continuous, auditor-ready posture.
The 10 frameworks
| Framework | Scope | Plan |
|---|---|---|
| OWASP Top 10 for Agentic Systems | AI-agent-specific risk top 10 | All plans |
| SOC 2 Type II | Service organization common criteria | All plans |
| ISO 27001:2022 | Information security management | Enterprise |
| NIST AI RMF | AI risk management (US federal) | Enterprise |
| PCI DSS v4.0 | Payment card industry | Enterprise |
| HIPAA | Healthcare / PHI | Enterprise |
| GDPR / Data Privacy | EU personal data | Enterprise |
| EU AI Act | High-risk AI systems (EU) | Enterprise |
| FSI Compliance | US financial services (OCC / NYDFS / SEC / Reg S-P) | Enterprise |
| Framework Mapping | Cross-framework control reference | All plans |
Each framework page has the same shape: covered requirements, per-requirement Behavry control, live posture query, export format.
Continuous posture, not snapshots
Every framework module runs a daily job that computes per-requirement status against the last 30 days of audit events. Status is one of:
- Green — evidence exists and meets the expected cadence
- Amber — evidence is sparse or intermittent
- Red — no evidence in the expected window
The Compliance hub in the dashboard shows all frameworks side-by-side; click any card for the drill-down. Dips (green → amber, amber → red) raise alerts the same way any behavioral anomaly does.
What the dashboard shows
Compliance → Overview
- A grid of framework cards with current status and 90-day trend
- Active / locked / coming-soon states (locked means your plan tier doesn't entitle the vertical; coming-soon means the framework is queued)
- One-click pivot into any framework page
Compliance → (framework)
- Per-requirement cards with status, description, and Behavry capability
- Drill-down drawer with the underlying audit query and the last 10 supporting events
- Export buttons: CSV / JSON / PDF
Where the evidence comes from
| Evidence type | Source |
|---|---|
| Audit trail | audit_events TimescaleDB hypertable — every event, hash-chained |
| DLP hits | dlp_findings on every event |
| Policy decisions | policy_result, policy_id, policy_reason on every event |
| Behavioral anomalies | alerts table |
| HITL decisions | escalations table |
| Access control | admin_users table + SSO attribute mapping |
| Change management | Policy version history + change requests |
Exports stream from the same tables so the PDF, CSV, and JSON always reflect reality at export time — there is no separate "compliance database" to drift out of sync.
Export formats
| Format | Use |
|---|---|
| CSV | Evidence folders, auditor spreadsheets |
| JSON | GRC tools (Vanta, Drata, SecureFrame, OneTrust) |
| Regulator / QSA / customer audit hand-off |
All framework pages expose /api/v1/compliance/{framework}/export?format=pdf|csv|json.
Evidence for the AI-agent slice only
Behavry provides evidence for the AI-agent-specific parts of your compliance program. It does not replace:
- Physical security, HR, change management of unrelated systems
- Infrastructure-level controls (TLS termination, network segmentation, backups)
- Your broader ISMS / risk register
Behavry slots into your existing program as the evidence layer for AI agent activity. Most customers pair it with their existing GRC platform so the Behavry exports land alongside the rest of their controls.
Related
- Decision Trace — the primary evidence artifact
- SIEM Connectors — forward events to your SIEM / GRC pipeline
- Framework Mapping — cross-framework reference