Runtime access control for AI
Govern the full agentic action chain with identity-aware authorization that preserves originator and agent context, enforces policy at runtime and tracks what each agent does.
Your AI agents are doing the work. How do you manage what they can do?
AI agents are becoming active participants in enterprise systems. They authenticate, call APIs, execute commands and move data, often on behalf of a human, another agent or a machine. Each task can span multiple identities, tools and resources, creating an action chain that traditional access models were never designed to govern.
P0 Security brings runtime access control to that action chain, preserving identity and context while enforcing authorization as sensitive actions are attempted.
The problem
Agentic access breaks traditional identity assumptions.
AI agents can be activated by a human, another agent or a machine, then act across tools, systems and data with increasing autonomy. They can proliferate in minutes, delegate work to other agents and operate at machine speed across boundaries that were designed around stable identities, human-driven sessions and preassigned access.
Traditional IAM, PAM, network and data controls were not built to preserve identity and context or continuously govern authorization across these dynamic action chains.
Agents are often given more access than needed
Agent actions are easy to lose track of, creating blind spots
Agents can cross customer and tenant boundaries
Agents scale quickly, and their failures scale too
The solution
One control plane manages agent access end to end...at runtime.
P0’s AuthZ Control Plane gives security teams a central place to define how agents are allowed to act, while enforcing those decisions wherever the action occurs.
It preserves the identity and delegated context behind the task, evaluates policy using the action, target and current conditions, then allows, limits, escalates or denies the action before it executes.
Know every identity and where access exists
Continuously identify agents, users and machines, along with the privileges, access paths and relationships behind them.
Surface standing access and risky connections before they become an authorization problem.
Enforce what agents can do at runtime
Check and apply policy to each proposed action using identity, delegated context, task, target and current conditions.
Allow, limit, escalate or deny the action based on what is authorized at that moment.
Understand every action and why it happened
Capture the identity, policy, approval, action and outcome across the full workflow.
Track privilege drift, policy exceptions and access changes so teams can support audits, compliance and investigations with a complete record of what happened.
Highlights of the P0 AuthZ Control Plane for AI
Understand every originator behind a task
P0 identifies whether a task was initiated by a human, a machine or another agent, then preserves that originator context alongside the acting agent.
Whether it is human-to-agent, machine-to-agent or agent-to-agent, policy can evaluate who or what started the work, what scope was delegated, which agent is acting and whether the downstream action still matches the original task. That keeps every handoff attributable, governed and within the intended access boundary.
Preserve a blended identity across every originating task, the agent and their actions
Agents act on behalf of someone or something else, whether that is a human, another agent or a machine.
P0 preserves the originator, the acting agent and the delegated context between them, so policy can evaluate the full identity behind the action instead of trusting the agent credential alone.
Enforce policy end-to-end...at runtime
P0 evaluates policy each time an agent attempts a sensitive action, using the identity, delegated context, task, tool, target and current conditions.
Based on that policy, the action can be allowed, denied, limited or escalated for approval before it proceeds, with enforcement carried across the full action chain rather than stopping at the gateway.
Extend authorization directly into MCP servers
A lightweight SDK brings runtime authorization directly into MCP servers, using JWTs and IdP claims to map user identity to the tools, actions and resources they are allowed to access.
P0 extends existing permission models without requiring teams to rewrite agents or rework the surrounding architecture.
Keep sensitive access temporary and scoped
P0 applies time-bound, purpose-specific permissions based on the action being requested and the context around it.
Access can be granted only for the task at hand, then automatically revoked when the approval window or task ends, extending zero standing privilege into production environments without adding deployment friction or latency.
See agentic runtime access control in practice
AI security company brings developer access under central policy
An AI security company used P0 to replace broad, standing developer access with just-in-time, policy-driven access across GCP, SSH and emergency workflows, while keeping Okta, PagerDuty, Slack and CLI workflows intact.