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AI Governance

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:

  • Risk identification and mitigation: Recognizing threats like adversarial attacks, data leakage, or misuse.
  • Policy enforcement: Applying security and ethical standards consistently across models and environments.
  • Accountability and transparency: Defining responsibility for AI behavior and decisions.
  • Compliance: Meeting regulatory requirements such as the EU AI Act or NIST AI RMF.
  • Incident response: Preparing for, detecting, and remediating AI-related security events.

Effective AI security governance spans the full AI lifecycle:

  • Development: Secure coding practices, dataset vetting, and model documentation.
  • Deployment: Access control, runtime monitoring, and output validation.
  • Post-deployment: Continuous risk assessment, behavior auditing, and drift detection.

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:

  • Rapid AI adoption outpacing policy.
  • Lack of explainability and auditability in models.
  • Shadow AI deployments with minimal oversight.
  • Insufficient visibility into runtime behavior.

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:

IBM: What is Data Governance

World Economic Forum: AI Governance Alliance

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