Agentic AI isn’t just about efficiency gains; it’s a risk conversation. As it moves into core workflows, speed and autonomy create new exposure across finance, security, privacy, operations, and legal, making guardrails non-negotiable.

That means putting in place practical controls: spend limits and circuit breakers, input sanitisation, data masking and regional controls, policy-as-code with dynamic permissions, audit trails, and kill-switch mechanisms for containment.

Here are the key governance layers and technical controls to consider.