P0 Introduces Advanced Privileged Access Management for AI Agents

Read full article here: https://www.p0.dev/blog/more-than-visibility-p0-introduces-privileged-access-control-for-agents/?utm_source=nhimg

AI agents are rapidly transforming how modern development teams build, automate, and scale. Whether leveraging AWS Bedrock, Google Vertex, or custom LLM-powered systems, these first-party agents now interact directly with cloud resources, data, and applications, often without a human in the loop.

While this autonomy accelerates innovation, it introduces new security risks in enterprise environments. Most AI agents today operate with static credentials and overly broad IAM roles, maintaining standing access to sensitive systems and data, access that is rarely monitored, often unmanaged, and difficult to audit due to deferred accountability.

P0’s Production Access Control Plane now addresses this challenge, providing privileged access governance for autonomous agents through an early access feature set focused on closed-loop agentic security.

Proactive Access Control for First-Party AI Agents

P0 extends its least-privilege, Just-in-Time (JIT) access model beyond human users and workloads to cover the AI agents driving today’s automation. Using the same centralized Production Access Control Plane, organizations can now:

• Secure and govern AI agent access across cloud and production environments.
• Audit every action performed by an agent, including the accountable human user who triggered the workflow.

When an AI agent requests access to data or cloud resources, P0 enforces secondary authorization controls, tying the agent’s privileges to the specific human identity interacting with it. Permissions are scoped narrowly, and JIT human-in-the-loop workflows ensure that privileged access is temporary, precise, and auditable.

Key Capabilities of P0 Agentic Access Governance

1. JIT, Human-in-the-Loop Provisioning - No static credentials or over-permissive keys. Privileges are granted only for the duration of a session or task, with approvals tied to the responsible human user.
2. Session-Level Audit and Replay - Every action performed by an AI agent is fully recorded and tied back to the human identity. Security teams gain tamper-proof visibility into production activity for compliance and forensic purposes.
3. Deep Cloud-Native Coverage - Granular entitlement control across all major cloud platforms, AWS, GCP, Azure, and CLI, ensuring that agent privileges are aligned with the organization’s policy framework.
4. Closed-Loop Governance - Extends P0’s Production Access Control Plane to autonomous workloads, delivering centralized visibility, policy enforcement, and risk mitigation for AI-driven operations.

Designed for Security, IAM, and Platform Teams

P0’s Production Access Control Plane empowers leaders at the intersection of business enablement and security:

• Security teams: Gain governance over a rapidly expanding class of non-human identities.
• Identity teams: Enforce consistent policies across multiple clouds (AWS, GCP, Azure, OCI) and on-prem resources.
• Platform engineering & developers: Deploy agentic productivity apps without introducing identity sprawl or access risks.

With P0, organizations can:

• Right-size agentic privileges with secondary controls based on the human end-user interacting with the AI.
• Scale autonomous AI responsibly, enabling productivity without introducing ungoverned identity risks.
• Simplify audits with session-level replay and automated evidence trails for compliance.

Early Access Availability

P0’s agentic controls and governance capabilities are now available in Early Access for select design partners.

Teams experimenting with first-party AI agents or exploring secure AI scale in production can collaborate with P0 to shape the future of access governance.