You’ve given your AI agents identities, connected them to tools and maybe even deployed an MCP gateway. But how much control do you really have over what those agents can access and do?
An agent with permission to use a tool can still have far more access than the task requires. And when agents start acting on behalf of users or other agents, it gets harder to know who’s responsible for what.
Join P0 Security for a technical session and product demo showing how to close those gaps.
We’ll walk through how to:
- Track who’s behind an agent’s actions, even across multiple agents
- Enforce access policies beyond MCP tools, all the way to the target system
- Give agents just enough privilege to complete a task, then remove it
- See exactly what agents requested, accessed and did
We’ll show these controls in action, including what happens when an agent tries to do something it shouldn’t.
