Keep agentic production access in check, automatically

Autonomous workloads are first-class actors in your environment. P0 treats them as such by bringing policy-driven access controls into your agentic workflows to ensure that every action is governed, auditable, and provisioned Just-in-Time.

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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.

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

Agent privilege right-sizing that's built into developer workflows

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 internally developed 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
Session level audit and replay is logged

P0 Platform

Loop-able animation showcasing Unused service accounts

P0 use cases

Proactive privilege right-sizing 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 based on the human end-user
Applies secondary authorization controls to enforce policy logic - allow, deny, or require approval
Prevents agents from over-fetching or pulling multi-tenant data

Central visibility and audit trails for agents

P0 captures the full chain of events, making it easy for teams to trace access and streamline audit evidence. It records who (human or machine) invoked the agent, which agent executed the query, the permissions requested and their purpose, and the approvals and audit trail of all actions taken. 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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