Our latest blog posts

AI governance is changing compliance. Learn how AI GRC certification helps professionals keep up in the age of intelligent systems.

AI can re-identify individuals hidden in anonymous datasets. Learn how GDPR, the EU AI Act, and strong AI GRC frameworks protect privacy in an algorithmic world.

You’ll learn how to apply safety, security, and resilience in practice using global frameworks like ISO/IEC 42001, the EU AI Act, and the NIST AI RMF.

Let's explore how artificial intelligence challenges traditional data protection principles, from consent and transparency to data minimization and accountability

In this course, we discuss how unfairness arises in AI systems, how to detect it, and how to implement safeguards to mitigate discriminatory outcomes.

Let's explore how accountability and traceability function within AI governance frameworks such as ISO/IEC 42001, the NIST AI Risk Management Framework, and the European Union’s AI Act.

Learn about transparency and explainability in AI systems and how they align with international standards like ISO/IEC 42001, NIST AI Risk Management Framework, and the EU AI Act.

AI training data can unintentionally expose personal information through model memorization and data leakage. Governance frameworks such as ISO/IEC 42001 and the NIST AI RMF can help organizations mitigate these privacy risks.

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.