AI Security Verification Standard (AISVS)

Conduct comprehensive security verification of AI-driven applications using the OWASP AI Security Verification Standard (AISVS) framework's 13-category structured checklist.

Steps

1. Training Data Governance & Bias Management — Assess data quality, provenance, bias detection, and governance controls throughout the data lifecycle.

2. User Input Validation — Evaluate input sanitization, prompt injection defenses, adversarial input detection, and boundary validation mechanisms.

3. Model Lifecycle Management & Change Control — Review model versioning, deployment controls, rollback capabilities, and change management processes.

4. Infrastructure, Configuration & Deployment Security — Examine deployment security, container hardening, network controls, and infrastructure configuration.

5. Access Control & Identity — Verify authentication mechanisms, authorization controls, privilege management, and identity governance.

6. Supply Chain Security for Models, Frameworks & Data — Assess third-party model security, dependency management, and supply chain integrity.

7. Model Behavior, Output Control & Safety Assurance — Evaluate output validation, safety guardrails, behavior monitoring, and harmful content prevention.