SOC2 Type II and AI Security: A Complete Guide

April 28, 2026·11 min read·Sekurely Research

SOC2 Type II audits have evolved. Auditors who previously focused on infrastructure and access controls are now asking detailed questions about AI systems — how they are used, what data they process, and what controls are in place.

Which SOC2 Controls Apply to AI?

CC6.1 — Logical and Physical Access Controls — Any AI system that processes customer data must have appropriate access controls. This includes the LLM API itself, the data pipelines feeding it, and the outputs it generates.

CC6.7 — Transmission of Data — Customer data transmitted to external LLM providers (OpenAI, Anthropic, Google) must be protected. Auditors will ask whether this transmission is encrypted, whether vendors are assessed, and whether DPAs are in place.

CC7.2 — System Monitoring — Organizations must monitor their AI systems for anomalies. This includes logging LLM inputs and outputs, monitoring for unusual query patterns, and detecting potential data exfiltration through AI prompts.

CC9.2 — Vendor Risk Management — LLM providers are vendors. They must be assessed, approved, and monitored as part of your vendor risk management program. This requires security questionnaires, DPA review, and periodic reassessment.

What Auditors Are Asking

Based on recent SOC2 audits at AI-using organizations, auditors are asking:

  • What AI tools does the organization use, and what data do they process?
  • Are there formal policies governing AI usage?
  • How is customer data protected when processed by AI systems?
  • What monitoring exists for AI system behavior?
  • How are AI vendor risks assessed and managed?
  • Building a SOC2-Ready AI Security Program

    Inventory your AI systems — Document every AI tool in use, the data it processes, and the controls in place. This is your AI asset inventory.

    Formalize policies — Create an AI Usage Policy that covers approved tools, prohibited data types, and employee obligations.

    Implement technical controls — Deploy DLP scanning on AI inputs and outputs. Log all AI system interactions. Monitor for anomalous behavior.

    Assess vendors — Complete security assessments for all AI vendors. Ensure DPAs are signed. Review their SOC2 reports if available.

    Train employees — Document AI security training completion. Auditors will ask for evidence of employee awareness.

    Conclusion

    SOC2 Type II compliance for AI-using organizations is achievable with the right controls and documentation. The organizations that struggle are those that treat AI as outside the scope of their security program. It is not — and auditors know it.

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