SOC 2 Type II for AI Systems

SOC 2 Type II, while not AI-specific, has become the de facto security and trust certification for AI SaaS companies. Auditors are increasingly developing AI-specific criteria covering model governance, training data security, bias testing, and algorithmic fairness alongside traditional security trust service criteria.

• Security: access controls and encryption for AI model artifacts
• Availability: uptime and performance for AI inference services
• Processing Integrity: AI outputs are complete, accurate, timely
• Confidentiality: protection of training data and model weights
• Privacy: handling of personal data used in AI training
• Model governance: documentation of model versions and changes
• Bias and fairness testing evidence
• Change management for AI model updates

1. 1Engage a SOC 2 auditor with AI system experience
2. 2Document AI model governance including version control and change management
3. 3Implement access controls for training data and model artifacts
4. 4Prepare evidence of bias testing and fairness evaluations
5. 5Define availability and processing integrity metrics for AI APIs