Breaking through the noise

If you are trying to figure out how to secure AI agents, the market is not making it easy. Network vendors, API security companies, MCP security providers, DSPM platforms and identity vendors are all moving into the conversation, and many of them are using the same language around runtime controls, policy, identity and least privilege. 

The problem is that they are not necessarily controlling the same thing. Some govern whether an agent can reach a system. Some govern which tools it can invoke. Some know whether the data it is touching is sensitive. Others focus on the identity behind the request and the permissions the agent should have when it acts. 

In this 30-minute on-demand webinar, P0 Security CEO, Shashwat Sehgal maps the four approaches across the full agentic action chain so you can see where each one fits, what it does well and where its coverage ends.

This is not a “one architecture wins” conversation.

Each of these approaches has a role, and most organizations will use more than one. The useful question is whether the controls you have line up with the problem you are trying to solve. Shashwat uses three requirements to pressure-test the different approaches: session identity and provenance, runtime tool enforcement and task-specific authorization. 

By the end, you’ll have a much cleaner way to look at the market and spot what is covered, what is partially covered and what is still missing.