Agents are redefining sensitive access...P0 is using AI to extend coverage just as fast

Runtime access control for every identity

Control AI agent actions, with the users and machines behind each task governed by the same authorization model.

AI agents amplify your access problems

The same access problems exist across agents, users and machines. AI makes them harder.

AI agents don’t just sign in. They reason, call tools, take actions and move across systems, often using delegated identities or existing machine credentials. And one agent can invoke another. As the action chain grows, it becomes harder to know who initiated the task, which agent is acting, what identity and privileges are being used and whether the action still matches the original task.

Incorrect attribution

Incorrect attribution

Agent and application logs often show which account took an action, but not the user or agent behind it. That breaks provenance and makes audit and forensics harder.

Rogue actions

Rogue actions

Agents may have access to tools that a specific user or task should not be allowed to use. Tool access should reflect who initiated the action and the context of the request.

Standing privileges

Standing privileges

Long-lived credentials can give agents more access than a task requires. Short-lived, task-scoped permissions reduce the risk of unintended or abusive actions.

Modern access requires end-to-end runtime authorization

Agents create access paths that can cross identities, tools, gateways and target systems in seconds. Authorization has to hold across that entire path, not just at authentication or a single control point. Runtime access control requires three things:

Know who is acting icon

Know who is acting

Preserve the originator, acting agent and delegated context across the workflow.

Control Every Action icon

Control the action

Evaluate each tool invocation and sensitive operation against policy when it is attempted.

Limit Access to Task icon

Limit access to the task

Grant only the privilege required for the approved task, when it is needed, where the action happens.

Policy has to follow the action.

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One control plane for agents, users and machines

P0 brings identity context, runtime policy evaluation and enforcement into one control plane across agentic, user and machine access. It preserves who or what initiated the task, evaluates what is being attempted in context and carries the authorization decision through the action chain, including into the target system when privilege is required.

Dynamic Asset Management

Understand your posture, assess your risk

Discover the identities and access paths across your environment

Identify agents, users and machines, the identities they use, the systems they can reach and the privileges available to them. Surface risky access paths, shadow agents and unnecessary privilege before they turn into runtime exposure.

Manage the action chain

Control what every agent can do at runtime

Evaluate each requested action using the context behind it, including the originator, acting agent, requested action, target resource and task.

Then enforce the decision where access actually happens, using policy, JIT privilege and human approval when required.

Continuous Privilege Governance
Integrated user workflows

Understand every action

Prove exactly who did what and why it was allowed

Maintain an audit trail that connects the originator, acting agent, action, target, policy decision and outcome so security teams can understand what happened and why it was permitted.

P0 AuthZ Control Plane

The P0 AuthZ Control Plane is the platform behind P0’s runtime access control model.

  • Its primary solution, P0 AuthZ Control Plane for AI, governs agentic access by preserving originator and agent context, evaluating authorization at runtime and enforcing policy across the full action chain.
  • The same platform also supports P0 AuthZ Control Plane for Users and P0 AuthZ Control Plane for Machines, providing the identity context, privilege controls and policy foundation that agentic workflows depend on.

Agents and users keep their existing identities. Machine identities remain part of the workflow where they are required. P0 adds the authorization layer that connects those identities to policy, runtime decisions and downstream enforcement without replacing the customer’s existing identity foundation.

AuthZ Control Plane diagram

See runtime access control for AI agents in action

Discover every identity, enforce policy at runtime and control access across the full action chain.

Guides, how-tos and best practices.

Everything you need to understand agentic access, runtime authorization and Zero Standing Privilege.

Webinar

Agentic runtime access control

Agent security vendors cover different parts of the problem. See how Network/API, MCP, DSPM, and identity-led approaches map across the agentic action chain.
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