The Missing Link Between AI Governance and Cybersecurity Strategy

Most AI governance efforts are focused on ethics, fairness, transparency, and compliance. That’s important, but it’s not enough. If you’re leading governance work and you’re not talking to your cybersecurity team, you're missing a major part of the picture. Because here’s the truth: AI systems introduce real, tangible security threats, not just theoretical risks. And right now, too many organizations are treating AI governance and cybersecurity like separate lanes. They’re not.

AI risk intersects with everything your cybersecurity team is already responsible for, from data privacy to system integrity to adversarial threats. And as AI adoption grows, those intersections are only going to multiply. That’s why it's time for governance professionals to collaborate more deeply with security teams, before your red flags become red alerts.

AI systems change the threat landscape, fast

Whether it’s a large language model or a recommendation engine, any AI system that makes decisions based on data becomes a new surface for attack. These systems can be manipulated, misused, or exploited in ways traditional IT tools were never built to handle. That means AI isn’t just another tool in your stack; it’s a source of brand-new risks.

This is where governance teams come in. You’re already thinking about oversight, accountability, and impact. But now, you also need to think about how your AI tools could be tricked, tampered with, or turned into entry points for attackers. That’s not just a cybersecurity concern. It’s a governance one. You need to be asking: What happens if our chatbot leaks sensitive data? What happens if someone uses our generative tool to impersonate a company executive? What controls do we have in place, and who’s testing them?

Red teaming shouldn’t live in a silo

Traditionally, red teaming has been the domain of cybersecurity. But AI changes the rules. To red team an AI system well, you need more than just technical expertise. You need a deep understanding of how the system was trained, what it’s being used for, and how it could behave under pressure. That means governance professionals have a critical role to play.

AI red teaming is no longer just about simulating hackers; it’s about pressure-testing your models for misuse, hallucinations, bias, and safety failure. It’s a shared responsibility. Governance professionals bring the context. Cybersecurity experts bring the adversarial mindset. And together, they create stronger systems, smarter risk assessments, and more resilient organizations.

The takeaway: You can’t govern AI without securing it and vice versa

The next generation of AI risk isn't about hypothetical harm. It’s about real-world consequences that span multiple teams and functions. Governance and cybersecurity must work side by side, with shared language, shared frameworks, and shared accountability. That collaboration doesn’t happen by accident; it starts with training, practice, and a deeper understanding of each other’s roles.

That’s why we created Cybersecurity Red Teams in the AI Era, an on-demand course designed to build your fluency in both AI and cybersecurity risk. You’ll explore how AI changes the threat landscape, gain practical strategies for AI-integrated red teaming, and walk away with a stronger grasp of how governance connects to cybersecurity on the ground.

If you want to be the kind of professional who sees what others miss, this course gives you the real-world perspective and practical foundation to do exactly that.

Explore the course and register today! Because bridging the gap between AI governance and cybersecurity isn’t optional anymore, it’s urgent.