SOC 2 for AI and LLM Companies: Evidence Expectations

Evidence Themes Auditors and Buyers Probe

• Access to model endpoints, weights, and admin consoles (CC6)
• Change control for prompts, agents, and deployment pipelines (CC8)
• Monitoring for abuse, exfiltration, and anomalous API use (CC7)
• Vendor risk for foundation-model providers (CC9)
• Confidentiality/Privacy commitments for customer content in prompts

Scoping Tips

Describe clearly which products, regions, and data classes are in the system boundary. If customer data trains models, say so — and show controls. If you only use third-party LLMs with no training on customer data, document that commitment and the technical enforcements.

How CyberSilo Helps

CSA maps AI-stack controls to TSC; ThreatHawk helps evidence monitoring around API and identity anomalies.

Frequently Asked Questions

Does SOC 2 certify our model’s accuracy?

No. SOC 2 addresses controls related to Trust Services Criteria for the described system — not model quality certification.

Should Privacy be in scope for LLM apps?

Often yes when personal data is processed in prompts or stored in logs/embeddings. Scope to commitments.

Are GPU cloud providers subservice organisations?

They may be, depending on how services are carved in the system description — discuss with your CPA firm.

Related SOC 2 Resources

SOC 2 hub · Attestation · CSA