Solution Brief · AI Agent Security

Your engineers are already running AI agents.
Does your security team know?

Most security stacks weren't built to see AI agents — let alone govern them. This brief explains the gap and what purpose-built enforcement actually looks like.

0%
of existing security stacks designed to govern AI agent behavior
Billions
in IP exposed annually through shadow AI tool usage
0 changes
to your network required to deploy Ensage AI
Solution Brief
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Secure Your AI Agents. Protect Your IP.
2-page brief
5-minute read
Opens as PDF
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Security teams are being outpaced. Engineers are adopting AI coding agents — Claude Code, Cursor, GitHub Copilot, and others — faster than any security team can inventory, much less govern them. These agents operate autonomously, choose what data to share with LLMs, invoke tools without oversight, and often run on personal API keys with no central visibility.

Your existing stack wasn't designed for this. IAM can't govern agents it doesn't know exist. Firewalls block destinations, not agent behaviors. Endpoint security catches malware, not legitimate tools doing unauthorized things.

Ensage AI closes that gap at the network layer — discovering every agent, enforcing access policies per agent, inspecting sessions inline, and maintaining a complete on-premises audit trail. No agent modifications. No network changes. No infrastructure surgery.

What this paper covers
01
Why your current security stack has a blind spot IAM, firewalls, and endpoint tools were designed for a pre-agent world. This brief explains exactly where each one falls short — and why the gap isn't fixable with configuration tweaks.
02
How AI agents actually move data Agents choose autonomously what to include in prompts, which tools to invoke, and which endpoints to reach. Understanding that behavior is the prerequisite to governing it.
03
The Ensage AI approach: discover, govern, contain Purpose-built enforcement that operates at the network layer via Zentera's CoIP Overlay — sandboxing agents, enforcing policies, inspecting sessions, and swapping personal API keys for enterprise credentials.
04
Deployment without disruption The entire platform runs as an overlay on your existing network. No topology changes, no firewall rules, no agent modifications required.

"AI agents don't fail because your team isn't paying attention — they succeed in creating risk because nothing in your current stack was designed to see them."

Written for
CISOs and security architects evaluating AI governance strategy
Security teams supporting engineering orgs with active AI coding agent adoption
Organizations in semiconductor, EDA, or IP-intensive industries with elevated data sensitivity
Anyone who has asked: what AI is actually running in my environment right now?