SOC 2 Compliant AI Platform: What the Certification Misses About AI Security

SOC 2 compliance, while a necessary baseline for AI platform evaluation, fails to address AI-specific security risks such as training data absorption, inference logging of sensitive prompts, and multi-tenant GPU side-channel attacks. Real-world incidents like Samsung's ChatGPT data leak demonstrate that SOC 2's traditional SaaS-oriented controls leave critical gaps when applied to AI infrastructure. Organizations should treat SOC 2 as a starting point and add AI-specific security criteria covering data retention policies, model training opt-outs, and dedicated compute isolation.