Agentic AI is no longer just generating responses—it is reading data, triggering workflows, calling APIs, and taking real-world actions.

And that changes everything.

In this episode, the focus is on how cybersecurity evolves when AI systems move from answering to acting. As agents gain access to tools, systems, and permissions, the risk is no longer limited to incorrect outputs—it extends to incorrect actions with real consequences.

The episode walks through how an agent operates end to end—from input to reasoning to execution—and where vulnerabilities emerge along the way, including prompt injection, context manipulation, tool misuse, and privilege escalation.

It also explores why traditional security models fall short, and how a Zero Trust approach becomes essential in governing agent behavior, permissions, and decisions.

Because once AI has permissions, it has power.
And power without control is where systems begin to fail.