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Proactive access control for agentic AI

Autonomous systems are first-class actors in your environment. P0 treats them as such by bringing dynamic, policy-driven access controls into AI-driven workflows to ensure that every action is governed, auditable, and operationally efficient.

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Agentic access is unchecked and over-privileged

As developer teams increasingly adopt agentic AI workflows using AWS Bedrock, Google Vertex, or custom-built LLM-powered systems, these first-party agents now interact directly with cloud resources, data, and applications, often without a human in the loop. Most agents run with standing permissions, often far broader than any human user would ever receive.‍

This introduces major risks:

  • First party agents often run with service accounts tied to broad, static roles
  • They can access entire databases even when the user only needs a single record
  • Prompt engineering or model hallucinations can lead to unauthorized queries
  • There’s no approval workflow, no supervision, and no clean audit trail

P0 solves this challenge by bringing Just-In-Time, least-privilege, fully auditable access for agentic applications that is built-in to developer workflows by design.

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Just-in-Time access provisioning at runtime, via native API integrations

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Dynamic policy enforcement built into agentic workflows

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Central visibility and audit trails across humans, workloads and agents

Just-in-Time access provisioning for first party agents

P0 replaces standing privileges, static roles and long-lived service accounts with short-lived and tightly scoped access for agents.

Sample workflow: 

  • Triggers an access request on behalf of the human behind the agent
  • Routes the request through the appropriate approval path via Slack, Teams or other workflows
  • Provisions least-privilege, short-lived access directly to the target production system
  • Access automatically expires once the task at hand is completed
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Dynamic policy enforcement for agentic actions

P0 evaluates every AI-initiated operation before it hits your sensitive systems so that agents can only act within the boundaries you explicitly allow.

  • Evaluates intent, identity, and context
  • Automatically applies policy logic: allow, deny, or require approval
  • Prevents agents from over-fetching or pulling multi-tenant data

Central visibility and audit trails for agents, workloads and human users

P0 records the full chain of events so teams can easily trace access and simplify evidence gathering for audits.

  • Who (human/machine identity) invoked the agent
  • Which agent executed the query
  • Which permissions were requested and why
  • Access request approvals and audit trail of what was done with the access

With built in capabilities to remove governance overhead:

  • Session recordings
  • Risk classification
  • Exportable audit reports
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Achieve zero standing privileges for agents with short-lived, JiT access to your production resources.

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