Outcomes | Modernization
Agentic access control
AI agents need identities. Those identities need governance and the same rigor you apply to every privileged human identity.
Your AI agents have access. Who governs it?
AI agents are not passive tools. They authenticate to cloud services, call APIs, execute commands, and move data, while often acting on behalf of different users, across multi-tenant systems, and in real time. Traditional IAM and PAM tools were designed for humans and long-lived identities, not autonomous agents operating at this scale. Most enterprises deploying agents have not extended meaningful governance to cover them: agents run under over-privileged service accounts, with static credentials and implicit trust that has no guardrails. P0 Security enforces identity-aware, least-privileged authorization at the exact moment an agent attempts to act, before the risk occurs.
The problem
Agents inherit broad, standing access.
AI agents behave exactly like the identity they run under, only faster, continuously, and often without oversight. When that identity carries excessive permissions, those permissions become the agent's full operational footprint. With 79% of enterprises having adopted AI agents and 88% reporting confirmed or suspected agent security incidents last year, ungoverned agent access is no longer a theoretical risk.
Agents inherit over-permissioned service accounts that are rarely scoped down
Agents reach across customer and tenant boundaries without request-level controls
Agents operate at machine speed without triggering meaningful alerts
Agent-to-agent handoffs lose the originating human identity
The solution
Authorization is enforced at runtime.
P0 Security's Authz Control Plane for Agents enforces least-privilege authorization at execution time, the exact moment an agent attempts to act, preventing unauthorized actions before they occur. P0 evaluates policy based on user identity, IdP claims, role and entitlement context, and the specific action and resource scope being requested.
Zero Standing Privilege replaces long-lived service account access with ephemeral, auto-revoking grants
Agents access only the intended tenant data, enforced per request, not per account
Every action traces back to the originating human identity for real-time access and accountability
Capability highlights
Agentic authorization SDK for MCP servers
A lightweight SDK embeds policy checks directly into MCP servers, mapping user identity (JWT and IdP claims) to allowed tools and resources. Extends existing permission models without rewriting agents.
Runtime policy enforcement for sensitive data access
Permissions are time-bound and purpose-specific, with automatic revocation when approval windows expire. Enables zero-standing-access patterns in production without adding deployment friction or latency.
Native MCP and agentic platform integrations
Direct integration with MCP gateways and orchestration layers across platforms including Microsoft Agentic Foundry, LangChain, Autogen, and custom frameworks. Framework-agnostic, minimal glue code, fast deployment.
“AI agents don't fail because they're malicious, they fail because they're trusted too much.”
Senior Staff Software Engineer
P0 customer
"AI agents don't fail because they're malicious, they fail because they're trusted too much."