Topic
Insights and notes grouped by this theme.
AI risk belongs in enterprise risk management, not only in the security backlog.
AI risk is not just a model problem. It touches compliance, reputation, customer trust, and strategic decision-making. Treating it as a purely technical issue leaves the business exposed.
The point of governance is not to stop AI work. It is to make the work safe enough to scale.
AI guardrails should guide teams toward responsible use without turning every experiment into a committee meeting. The best controls create usable boundaries, not bureaucratic dead ends.
AI oversight is not about understanding every model. It is about asking the governance questions that matter.
Boards do not need to become AI engineers, but they do need a clear view of AI risk ownership, material use cases, data exposure, controls, vendor dependencies, and incident readiness.
