Operational Controls

Operational controls are the day-to-day procedures, policies, and technical measures that organizations implement to ensure AI systems function safely, securely, and as intended. These include monitoring systems for performance and anomalies, access controls, audit logging, incident response protocols, and regular testing procedures. For enterprise AI governance, strong operational controls are critical because they translate compliance requirements into actual practice and help detect problems before they cause significant harm or regulatory violations.

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ResearchGlobal2026-07-31

CSA Report Raises the Bar on Combined AI Security and Governance Maturity

The Cloud Security Alliance has published The State of AI Security and Governance, a global research report treating AI security and governance as a unified enterprise risk domain. The report emphasizes operational controls, continuous monitoring, and governance maturity benchmarks. It is directly relevant to security review workflows, third-party AI assessment programs, and policy enforcement for AI-enabled systems.

Cloud Security Alliance AI security governance maturity third-party AI risk monitoring operational controls enterprise compliance