SOC 2 Compliance for AI Agent Decision Logs — Tenet AI
SOC 2 Type II auditors are examining AI decision logs. Tenet satisfies CC7.2 anomaly detection, CC6.1 logical access, CC4.1 monitoring, and A1.2 availability requirements for autonomous AI agents — without restructuring your existing architecture.
SOC 2 Trust Services Criteria for AI Systems
CC7.2 requires detection of anomalies and incidents, including AI behavioral drift. CC6.1 requires logical access controls over AI decision data. CC4.1 requires monitoring activities including AI agent performance. Tenet addresses all three with its decision ledger, drift detection, and access-controlled audit trail.
What Makes SOC 2 Different for AI Compared to Traditional SaaS
Traditional SOC 2 focuses on infrastructure security, availability, and data access. For AI systems, auditors require new categories of evidence: proof that AI outputs are consistent and monitored (CC7.2), documentation that model changes go through an approval process (CC4.1), and evidence that access to AI configuration parameters is controlled (CC6.1). Application logs alone cannot answer whether the AI is doing what it should.
SOC 2 Type II vs Type I for AI Products
Most enterprise customers require Type II, which covers an evidence period of 6 to 12 months. Type I is a point-in-time assessment of whether controls are designed correctly — it does not test whether they actually operated. For AI systems, Type II is more demanding because it requires continuous evidence that monitoring was operational throughout the period. A Type I report for an AI product is increasingly seen as insufficient for enterprise procurement.
What Evidence Do SOC 2 Auditors Request for AI Decision Logs
Auditors typically request a sample of AI decision records from across the evidence period, evidence that the logging mechanism had no gaps, proof that log integrity controls prevent post-hoc modification, and evidence that someone reviewed logs for anomalies. Missing logs for successful decisions — not just error states — is the most common AI-specific finding in SOC 2 audits today.
Model Version Changes and SOC 2 Change Management
Every model version change is a change management event under CC4.1. Auditors ask for documentation showing the change was authorized, tested, and approved before deployment. Undocumented model version changes are among the most common AI-specific findings. Tenet captures the model version active at each decision — creating a continuous chain of evidence across version transitions.
SOC 2 and AI: Continuous vs Point-in-Time Evidence
For SOC 2 Type II, the evidence period spans months — auditors need continuous proof that controls operated throughout. Point-in-time sampling approaches designed for traditional software systems are generally insufficient for autonomous AI agents that make decisions every second. Tenet provides uninterrupted decision capture with timestamp integrity, satisfying the continuity requirement that AI-specific SOC 2 audits increasingly demand.