Agentic AI

Agentic AI governance needs zero-trust control.

When AI systems become agents, the governance question changes. The issue is no longer only what the model says. It is what the agent can do.

Agents are operational actors

An agent may call tools, retrieve records, write code, trigger workflows, access data or make recommendations that influence people and business processes. That means each agent needs identity, ownership, boundaries and evidence.

Zero-trust principles for agents

• Register every agent and assign accountable owners.
• Separate agent identities from human users and ordinary service accounts.
• Define tool permissions before the agent can act.
• Limit data access based on business purpose and sensitivity.
• Require human approval for high-impact or irreversible actions.
• Log runtime decisions so actions can be reviewed.

Why runtime control matters

Traditional assessments happen before deployment. Agentic workflows also need runtime decision points. A Gateway-style layer can evaluate proposed actions and decide whether to allow, block, log or escalate before execution.