Assessment of secure AI model development practices, vulnerability testing, and model security controls
AI Model Development and Security focuses on the secure development, testing, and maintenance of AI models throughout their lifecycle. This domain addresses secure development practices, vulnerability testing, supply chain security, and model documentation to ensure AI models are developed and maintained securely.
Secure AI model development is essential as AI systems face unique security challenges beyond traditional software, including adversarial attacks, model poisoning, and inference manipulation. Organizations must implement specialized security controls and testing methodologies to protect AI models from these emerging threats.
Evaluation of the organization's AI model development lifecycle, including security requirements, threat modeling, and security testing at each phase.
Key Control: ISO 42001 Section 8.1, NIST AI RMF (MANAGE function)
Assessment of documentation practices for AI models, including architecture, parameters, training methods, and version control.
Key Control: ISO 42001 Section 7.5, CIS Control 2
Evaluation of security testing practices for AI models, including adversarial testing, input validation, and output filtering.
Key Control: CIS Control 16, NIST CSF 2.0 (PROTECT function)
Assessment of supply chain risk management practices for AI components, including vendor assessment and component verification.
Key Control: CIS Control 15, NIST CSF 2.0 (IDENTIFY function)
Evaluation of processes for secure model updates, including testing, approval, and rollback capabilities.
Key Control: CIS Control 7, ISO 42001 Section 8.1
Assessment of security assessment practices for third-party AI models, including documentation review, testing, and compliance verification.
Key Control: CIS Control 15, NIST AI RMF (MEASURE function)
AI models face unique security threats that organizations must address:
Several industry standards provide guidance on AI model security:
Answer these key questions to quickly evaluate your AI model security maturity:
Your organization appears to be at a basic level of AI model security maturity.
Next steps: Implement a secure AI model development lifecycle and basic security testing.