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.
Generative AI risk does not fit neatly inside traditional security controls.
CISOs need a practical AI governance model that connects acceptable use, data controls, model risk, third-party exposure, monitoring, and incident response.
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.
