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What Is AI Governance? Frameworks, Best Practices, and How to Implement It

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Timothy Boettcher • Aug 07, 2026

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Clara HinchcliffeAug 03, 2026

What is AI Model Risk Management: A Framework for the Board

AI model risk management, or AI-MRM, is the board-level discipline of identifying, measuring, monitoring, and controlling risk across the AI model lifecycle. It extends SR 11-7 principles to generative and agentic AI by adding controls such as drift detection, model tiering, and attestation, helping directors evaluate AI use cases with greater clarity and confidence.

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Grace HarrisonJul 24, 2026

Can You Back Up an AI Model? What AI Model Resilience Means

Backing up an AI model artifact is possible, but the artifact alone is not enough to restore the system it supports. AI model resilience is the ability to detect degradation, return a model to a validated state, and recover the data, configurations, permissions, and dependent applications required for reliable operation.

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Grace HarrisonJul 03, 2026

What Is Just-In-Time Privileged Access: Implementation and Best Practices

Just-in-time (JIT) privileged access eliminates persistent admin rights by granting temporary, task-specific permissions that expire automatically. Built on the principle of Zero Standing Access (ZSA), JIT combines automated approval workflows, contextual policy evaluation, multifactor authentication at the point of elevation, and continuous session monitoring to shrink your attack surface, neutralize credential-based threats, and harden cloud resilience against ransomware.