White Paper · AI Agent Security

Your security stack wasn't built to govern AI agents.
Here's the framework that was.

A structured five-stage governance model and three-component platform for enterprise agentic security - without infrastructure redesign.

82%
of organizations have unknown AI agents in their infrastructure
68%
of organizations cannot distinguish human from AI agent activity
0 changes
to your network required to deploy Ensage AI
White paper
Governing_AI_Agents_cover
Governing AI Agents at the Network Layer
4-page white paper
6-minute read
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AI agents are non-human identities operating with human-level access. They invoke tools autonomously, make decisions without oversight, and often run on personal API keys with no central visibility. The governance frameworks enterprises rely on - IAM, PAM, perimeter security - were designed for human users. They have no model for software that acts on its own.

Ensage AI addresses this gap with a structured, five-stage governance model built specifically for AI agents, operationalized through three purpose-built platform components that enforce policy at the network layer. Critically, enforcement does not require agent cooperation - which means it works on third-party agents, shadow AI tools, and custom-built agents equally.

What this paper covers
01
The DACOM governance framework A progressive five-stage maturity path - Discover, Authorize, Contain, Observe, Maintain - that organizations can enter at any stage. Discovery alone delivers immediate value by eliminating the blind spot most enterprises currently have around AI agent activity.
02
Three platform components, one control plane How the zLink Endpoint Sensor, AI Session Controller, and Zentera Labs Intelligence work together to operationalize the framework - all managed through the same zCenter Orchestrator as your existing Zero Trust policy.
03
Enforcement without agent cooperation Why network-layer enforcement is architecturally superior to agent-side instrumentation - and what that means for third-party agents, shadow AI tools, and custom-built agents that cannot be modified.
04
Deployment on existing infrastructure Ensage AI runs on Zentera's CoIP Zero Trust overlay, the same architecture already deployed in production for network segmentation and ZTNA. Organizations already using CoIP activate agentic governance on existing infrastructure.

"Containment is a property of the architecture, not a reaction to behavior."

Written for
CISOs and security architects evaluating agentic AI governance frameworks
Security teams supporting engineering organizations with active AI agent adoption
Organizations in semiconductor, EDA, or IP-intensive industries with elevated data sensitivity requirements
Anyone responsible for answering: what AI is actually running in our environment right now, and what can it reach?