Secure Access for AI Agents

Secure Agentic Access Without Exposing Your Data

Policy-driven, self-hosted access control for agents, scripts, and LLM systems.
Built for speed. Backed by context.

AI Agents Are Autonomous. Their Permissions Shouldn't Be.

Modern AI agents can update dashboards, pull data, trigger jobs, and more. But most are over-permissioned or hardwired with static credentials.

Security and autonomy don’t have to conflict.

Pomerium Enterprise enforces precise access rules for agents based on identity, task, and context. No static tokens. No blind trust.

Assign unique service identities to agents, scripts, or LLM-backed tools

Enforce access based on task scope, source IP, headers, and time

Define what each agent can do and when—with full audit visibility

Deploy in your environment. Integrate with any agent runtime or orchestration layer

Let agents fetch data without write access
Enforce rules like "read-only during work hours" or "only from approved networks"

Pomerium Enterprise enforces precise access rules for agents based on identity, task, and context. No static tokens. No blind trust.

Support LLM agents, RAG systems, pipelines, and bots with access that matches function and scope.

Decisions adapt to time, source, user, and task—not just identity.

Run it in your infrastructure. No proxies. No SaaS dependencies.

Manage human, service, and agent access through a single, consistent policy engine.