This guide helps CISOs assess the risks of deploying agentic AI by framing ten critical questions around autonomy, governance, and security readiness. It explains that agentic AI systems do more than generate outputs, they retain memory, reason over time, and take real-world actions by calling APIs through mechanisms such as the Model Context Protocol. These capabilities introduce new risks including uncontrolled decision-making, prompt injection, context poisoning, behavioral drift, and privilege escalation through chained API calls. The guide emphasizes that traditional security controls are insufficient because they lack visibility into agent intent and machine-driven activity. It concludes that API security is the primary enforcement layer for agentic AI, enabling visibility, auditing,

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