06/03/2026
is reshaping every part of the enterprise, and leaders are being forced to manage more change than ever. From a security standpoint, it all starts with governance. Documented policy provides the organization with direction, defines acceptable use, and sets guardrails for responsible AI adoption.
Modern like Claude and GPT introduce new risks: data leakage, model misuse, shadow AI, and uncontrolled automation. These risks can’t be mitigated with technology alone—they require policy, training, and clear accountability.
Your cybersecurity architecture will need to evolve, but those changes should be driven by your specific risk profile, not by hype or vendor pressure. And because everything in AI is fundamentally data‑driven, your risk management and cyber controls must be data‑centric as well.
Strong governance. Clear policy. Targeted controls. That’s how enterprises adopt AI safely—and at scale.