AI audit trail

Every AI interaction generates a tamper-proof inspection record with full detail — who sent what, what was detected, what action was taken, and what reached the provider. Audit-ready records for security review, incident response, and compliance reporting.

Why AI interactions need audit trails

Every other enterprise system has audit logging — email, file access, database queries, application events. AI interactions have been a blind spot. Security teams cannot answer basic questions: which employees use AI tools? What data do they share? What does the AI respond? Without audit trails, there is no accountability, no incident response capability, and no compliance evidence.

What gets logged

Each inspection record captures the complete context of an AI interaction — from user intent to enforcement decision:

Original vs sanitized comparison

Each audit record shows a side-by-side comparison: what the user intended to send and what actually reached the provider. Masked entities display with replacement tokens while the original values are preserved in the secure audit store. This enables incident response teams to assess exactly what data was at risk. See real-time inspection for the live inspection view.

Compliance readiness

Audit trails serve as evidence for multiple compliance frameworks:

• SOC 2 — Demonstrate AI data handling controls and access logging for Trust Service Criteria.
• HIPAA — Confirm that PHI detection is active and that no unmasked patient data reaches AI providers.
• EU AI Act — Satisfy Record-keeping (Article 12) and transparency requirements with detailed interaction logs.
• ISO 42001 — Provide evidence for AI management system audit requirements.

SIEM and SOC integration

Audit events can be forwarded to existing security infrastructure in real-time via native SOC integrations:

• Splunk HEC — Forward events to Splunk via HTTP Event Collector.
• Elastic Bulk — Send to Elasticsearch for Kibana dashboards and alerts.
• Webhook — Structured JSON payloads to any HTTP endpoint (Sentinel, QRadar, custom).

Incident response

When a security incident occurs, audit trails enable rapid forensics: search by user, time range, AI provider, detection type, or policy action. Reconstruction of the complete interaction timeline — what was said, what was detected, and what action was taken — accelerates incident response from hours to minutes.