AI security governance refers to the organizational frameworks, processes, and policies that manage risk and ensure the secure operation of AI systems. It combines traditional governance principles with new requirements specific to the dynamic, data-driven, and non-deterministic nature of AI.
Key objectives of AI security governance include:
Effective AI security governance spans the full AI lifecycle:
It also includes cross-functional coordination among data science, cybersecurity, legal, and executive teams to ensure decisions about AI risks are informed and enforceable.
Challenges in governance include:
How PointGuard AI Addresses This:
PointGuard AI operationalizes AI security governance by providing runtime enforcement, policy integration, and model behavior auditing. The platform enables organizations to detect violations, report on compliance, and continuously validate that AI systems are operating within approved boundaries. With PointGuard, governance becomes active, measurable, and adaptive to evolving AI threats.
References:
World Economic Forum: AI Governance Alliance
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