Assessment of secure deployment practices, monitoring, access controls, and operational security for AI systems
AI Operations and Deployment focuses on the secure deployment, monitoring, and operational management of AI systems in production environments. This domain addresses secure deployment practices, continuous monitoring, access controls, logging, model drift detection, and infrastructure security.
Effective operational security for AI systems is critical as these systems often process sensitive data, make important decisions, and face unique operational challenges like model drift and performance degradation. Organizations must implement specialized operational controls to ensure AI systems remain secure, reliable, and compliant throughout their operational lifecycle.
Evaluation of secure deployment procedures for AI systems, including configuration management, environment separation, and deployment verification.
Key Control: CIS Control 4, NIST CSF 2.0 (PROTECT function)
Assessment of continuous monitoring solutions for AI systems that detect security anomalies, unexpected behaviors, and performance issues.
Key Control: CIS Control 13, NIST AI RMF (MEASURE function)
Evaluation of access controls for AI systems, including multi-factor authentication, role-based access, and privilege management.
Key Control: CIS Control 6, ISO 42001 Section 8.3
Assessment of logging practices for AI systems, including system operations, access attempts, and administrative actions.
Key Control: CIS Control 8, NIST CSF 2.0 (DETECT function)
Evaluation of processes to detect and address model drift, including performance monitoring, statistical analysis, and remediation procedures.
Key Control: ISO 42001 Section 9.1, NIST AI RMF (MEASURE function)
Assessment of secure configuration standards for AI infrastructure, including servers, networks, and cloud environments.
Key Control: CIS Control 4, NIST CSF 2.0 (PROTECT function)
AI systems face unique operational security challenges that organizations must address:
Several industry standards provide guidance on AI operational security:
Answer these key questions to quickly evaluate your AI operations security maturity:
Your organization appears to be at a basic level of AI operations security maturity.
Next steps: Implement secure deployment practices and basic monitoring for AI systems.