Authentication gets agents in. Authorization controls what happens next.
P0 delivers runtime access control for AI so you can manage what every agent can do before it does it.
AI agents amplify your access problems
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 - 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 - 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- 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.
Traditional access management was not built for AI:
| Existing identity management | Runtime access control for AI |
|---|---|
|
|
|
|
|
|
|
|
Runtime access control requires three things:
Know who is acting
Maintain a blended identity and provenance of the originator and agent across the workflow.
Control the action
Evaluate each tool invocation and sensitive operation against policy at runtime.
Limit access to the task
Grant only the privilege required for the approved task, when it is needed and where action happens.
Trusted by security teams, loved by developers.
The AuthZ Control Plane™
Understand your posture, assess your risk
Discover the agents acting across your environment
Discover AI agents, the identities they use, the tools and systems they can reach and the privileges available to them. Surface shadow agents and risky access paths before they turn into runtime exposure.
Manage the action chain
Control what every agent can do at runtime
Evaluate each requested action using the full context behind it, including the originator, the agent, the requested action, the target resource and the task.
Then enforce the decision where access actually happens, using policy, JIT privilege and human approval when required.
Manage provenance
Prove exactly who did what, and why it was allowed
Create an audit trail that connects the human or system that initiated the task, the agent that acted, the resource it accessed, the action it attempted, the policy decision and the outcome.
One control plane. Agents, humans and machines.
Native APIs auto-discover sensitive resources so no privilege goes undetected as environments scale.
P0’s agentless architecture eliminates infrastructure overhead, minimizing compute costs and accelerates time-to-ZSP.
Agentic platforms
Amazon Bedrock, Claude, Google Vertex, Microsoft Foundry
Cloud
Amazon Web Services, Google Cloud, Azure, Oracle Cloud Infrastructure
Servers
Virtual machines and on-prem servers with JIT SSH and RDP
Data
PostgreSQL, Amazon RDS, Snowflake and more
All integrations
Kubernetes, code repositories, agentic platforms and more
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.