Free Training: AI Governance Principles
September 23, 2025
Master the core principles of AI governance with a course grounded in ISO/IEC 42001, the NIST AI RMF, the EU AI Act, and global ethical frameworks like OECD and UNESCO.
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You already know how to manage risk. Now it's time to manage intelligence. If you’ve worked in Governance, Risk, and Compliance (GRC) for any length of time, you’ve seen waves of transformation: cloud computing, automation, privacy reform. Each one reshaped the way organizations think about control and accountability. Now, artificial intelligence is the next wave. It’s changing how businesses make decisions, assess risk, and build trust. Many professionals look at AI GRC and think it’s a brand-new specialty. In reality, it’s the next chapter of what GRC was always meant to be — a system that keeps technology aligned with ethics, law, and business purpose. And if you’ve been working in traditional GRC, you’re already well prepared. You just need to apply your existing strengths to a new kind of system: one that learns, evolves, and occasionally surprises you.
How do you prepare for compliance with regulations that are both complex and still evolving? ISO/IEC 42001, the first international management system standard for AI, gives businesses a way to govern, monitor, and document their AI systems.
When businesses prepare for an AI audit, they usually focus on the big issues: data breaches, biased algorithms, or compliance with new regulations. Those are obviously important, but they’re not the reason most audits go wrong. More often than not, companies stumble on the basics. Missing documentation, vague accountability, and inconsistent monitoring. These small gaps are easy to overlook in day-to-day operations, but in an audit, they’re the first things the auditor will look at. Being perfect isn’t the goal when it comes to a successful audit. It’s much more important to get the fundamentals right. In this article, we’ll highlight seven common things companies forget when preparing for AI audits, and more importantly, how to fix them before they become costly mistakes.
