Veto power is the practical ability to stop, block, or override an AI-driven decision before it takes effect. In a human-in-the-loop workflow, it is the difference between a reviewer who merely sees a recommendation and a reviewer who can actually prevent the system from acting.
This matters in cyber security because AI output can be wrong, manipulated, or too uncertain to trust. If the human layer has no real authority, an approval step becomes ceremonial and unsafe actions can pass through unchanged. Effective veto power depends on clear roles, enough time to review, access to the context behind the model’s decision, and an interface that makes intervention easy. Defenders use it to catch false positives, stop risky automation, and enforce policy when a model drifts or is attacked.