After five years conducting SOC 2 audits at a Big 4 firm, I've seen every approach to AI security controls—from comprehensive to completely absent. Here's what actually matters when auditors assess your AI posture.
The Trust Services Criteria That Apply to AI
Security (Common Criteria)
CC6.1 and CC6.6 are most relevant. Auditors will ask:
- How do you prevent unauthorized AI tool usage?
- What controls exist for AI data handling?
- How do you monitor AI interactions for security events?
Confidentiality
If you process confidential information, auditors will examine:
- Can confidential data reach AI services?
- What controls prevent accidental disclosure?
- How do you ensure AI vendors protect confidential data?
Processing Integrity
For AI-integrated business processes:
- How do you ensure AI outputs are accurate?
- What human review processes exist?
- How do you handle AI errors?
What Auditors Actually Test
Documentation Review
- AI acceptable use policies
- AI vendor assessments
- Data classification as it relates to AI
- AI incident response procedures
Technical Evidence
- Access controls for AI tools
- Logging of AI interactions
- Network controls for AI traffic
- DLP configurations related to AI
Process Testing
- User access provisioning for AI tools
- Change management for AI implementations
- Incident response exercises
Common Deficiencies
Based on my experience, these are the most frequent AI-related SOC 2 findings:
1. **Missing AI inventory** - No documentation of which AI tools are in use
2. **Inadequate AI policies** - Policies that don't address AI-specific risks
3. **Insufficient logging** - AI interactions not captured in security logs
4. **Incomplete vendor assessments** - AI vendors not subject to third-party risk management
Preparing for AI-Focused SOC 2 Scrutiny
Start with an AI inventory. Document every AI tool in use—sanctioned and shadow. Build policies around actual usage. Implement technical controls that create audit evidence. Train your team on AI-specific risks.
The organizations that pass SOC 2 with strong AI controls are those that treated AI security as an extension of existing security programs, not a separate initiative.
Rachel is a former Big 4 auditor specializing in SOC 2 and technology risk assessments. She now consults independently, helping organizations prepare for compliance audits.
Stop AI Data Leaks Before They Start
Deploy ZeroShare Gateway in your infrastructure. Free for up to 5 users. No code changes required.
This article reflects research and analysis by the ZeroShare editorial team. Statistics and regulatory information are sourced from publicly available reports and should be verified for your specific use case. For details about our content and editorial practices, see our Terms of Service.