AI Compliance Is Not the Same as AI Control
Policies, registers and committees are necessary. But they do not prove control. AI governance becomes real only when organizations can observe what changes, detect what goes wrong, intervene quickly and explain what happened after the fact.
Your CISO Has Eyes and Ears. Your AI Officer Probably Does Not.
AI governance cannot rely on declarations alone. While the AI Officer coordinates policy and accountability, the CISO sees operational reality through telemetry, detection and incident response. Without security signals, governance becomes paper-based trust.
The AI Software Paradox Series
Artificial Intelligence is accelerating software creation like never before. But while development moves at machine speed, governance, architecture, and security remain human. This series explores why the AI era’s greatest challenge is retaining control over what gets built.
The Rise of the AI Software Supply Chain
Organizations spent years securing software supply chains. AI is creating a new challenge: governing the systems that generate software itself. Every generated line of code inherits assumptions, decisions, and risks from sources nobody can fully trace.
Shadow Development: The Next Shadow IT
Shadow IT was about consuming technology outside governance. Shadow Development is about creating technology outside governance. AI is turning every employee into a potential builder—and many organizations have no visibility into what is being built.
