Governance Guide
AI Security Audit Template (2026) - CISO Control Framework
AI systems introduce unique security risks: model manipulation, prompt injection, data leakage. This audit template covers security control verification, penetration testing, and incident readiness.
Direct answer
AI systems introduce unique security risks: model manipulation, prompt injection, data leakage. This audit template covers security control verification, penetration testing, and incident readiness.
Fast path
- Verify model access controls: authentication, role-based permissions, API key management.
- Test prompt injection defenses across all user-facing AI interfaces.
- Validate data isolation between AI tenants and sensitive data handling controls.
Guide toolkit
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Turn this guide into a working brief for AI Security Control Matrix Generator.
Implementation Steps
- Verify model access controls: authentication, role-based permissions, API key management.
- Test prompt injection defenses across all user-facing AI interfaces.
- Validate data isolation between AI tenants and sensitive data handling controls.
- Review incident response procedures for AI-specific security events.
Frequently Asked Questions
What security vulnerabilities are unique to AI systems?
AI-specific vulnerabilities include prompt injection attacks, model manipulation, training data poisoning, inference API abuse, and output manipulation. Traditional security controls may not cover these risks.
How often should AI security audits be performed?
AI security audits should be performed quarterly for production systems, after any model or infrastructure changes, and following security incidents. Annual comprehensive audits are minimum standard.
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