​Why AI Agents Need More Than Threat Detection

Shashwat Sehgal is CEO and co-founder of P0 Security, helping enterprises secure runtime access across agents and users before risk happens.

​When an agent takes an action it shouldn’t, the immediate instinct is to ask, “Was it attacked?” Prompt injection, malicious tools, credential theft and weird data movement are real concerns, and security teams absolutely should detect them.

But a more basic failure is frequently behind it: The system had permission to do what it did. That’s why the first thing security teams should look into is why the agent was allowed to take that action in the first place, and whether that authority matched the organization’s intent.

Threat Detection: Useful, But It Isn’t Authorization

Threat detection is good at watching the shape of what an agent is doing. It looks at prompts, retrieved content, tool calls, execution sequences, session history, data movement and deviations from expected behavior. These systems can flag likely compromise or unsafe activity and block or alert before damage spreads.

That matters. Still, threat detection answers a different question than access control. It’s essentially: “Does this look dangerous?” Authorization answers: “Is this action allowed here, by this actor, on this resource, for this purpose?”

Those are related, but they aren’t interchangeable. An agent can look normal—no injection, stolen credential or obvious anomaly. Yet, it can still do something wrong if it had overly broad permissions from the start.

Suppose an agent is asked to reduce cloud waste. It finds production resources it believes are unused and then deletes them. The dangerous part isn’t the intent. It’s that the agent carried credentials that made deletion possible in the first place.

Don’t Confuse Good Detection With Safe Access

There’s value in that. But it’s also a posture problem: Why does the agent have standing permission to begin with?