Identity-native discovery, governance, and runtime enforcement for enterprise AI agents

Agen.co starts from the position that the agents are already in the building. Rather than gating a rollout, the platform inventories what exists: a continuous sweep across the identity provider, gateway, devices, cloud, and agent registry that separates sanctioned deployments from shadow AI and pins each agent to an accountable owner. That inventory is the substrate everything else runs on, because an agent nobody can name is an agent nobody can govern.

Decisions happen in line rather than after the fact. Every agent action passes through a gateway that weighs the agent's identity and the scope of the system it is reaching into, then returns one of five verdicts — allow, step-up, human-in-the-loop, mask, or deny — with a sub-30ms latency target so the check does not become the bottleneck. The five-way outcome matters: masking a field or routing a single action to a human is a far more usable answer than a binary block when the agent is doing legitimate work against sensitive data.

Enforcement extends past the API boundary to where data actually leaks. AgenShield applies policy on the device, and BrowserShield, in early access, intervenes at the paste point in the browser — the path by which corporate context most often ends up inside a consumer model. The platform integrates with Okta, Microsoft Entra ID, and Google Workspace, governs workforce tools including Copilot, Cursor, Claude Code, and ChatGPT, and exposes 150+ governed connectors and 1,000+ governed tools out of the box, with external agents reached over MCP. It can be deployed as SaaS, hybrid, or on-premises, and maps activity to SOC 2, ISO 27001, GDPR, and HIPAA for continuous audit.