See every AI agent running in your enterprise. Control what they can reach.
Most enterprises have AI agents they didn't deploy, can't see, and can't stop. Ensage AI discovers them at the endpoint, isolates them in network enclaves, and logs every session - before a shadow agent becomes a breach.
47.1%of deployed AI agents are not actively monitored or secured in the enterprise today.(Gravitee, 2026 State of AI Agent Security)
What Ensage AI does
AI agent security at the layer where it matters.
AI agents are non-human identities operating with human-level access. Ensage AI gives security teams the controls they need.
"See every agent, whether you deployed it or not."
Discovery at the endpoint
zLink detects AI agents by process fingerprint and network behavior — no agent cooperation required. Shadow AI is visible before it becomes a breach. Zentera Labs Intelligence cross-references 2,495+ known MCP servers and 7,859+ VS Code extensions continuously.
"Control the session, the tool call, and the credential."
Inline session enforcement
The AI Session Controller is a TLS-terminating proxy that inspects every prompt, response, and tool call. Enterprise API keys never touch the endpoint. A compromised agent cannot exfiltrate your credentials — they terminate at the ASC.
"Contain each project in its own enclave."
Network-layer isolation
Agents in Project A cannot reach assets in Project B — Project B's resources are simply not network-reachable. Enclave-based isolation operates at the layer where reachability is decided, enforced in infrastructure rather than policy.
Platform components
Purpose-built for AI governance. No network redesign.
Ensage AI runs on Zentera's CoIP Zero Trust overlay - deploy without touching existing infrastructure.
Endpoint
zLink
Endpoint Sensor & Discovery
OS-level deployment, no agent cooperation required
Detects agents by process fingerprint and network behavior
Sandboxes unauthorized agents by cutting network access
Routes agent traffic to the AI Session Controller
Detects unauthorized modifications to agent binaries
Session Layer
AI Session Controller
Policy Proxy & Enforcement
Transparent TLS-terminating proxy - no code changes needed
Logs every session, prompt, and tool call
Injects enterprise system prompts for behavioral guardrails
Schema adapters for OpenAI, Anthropic, Gemini, and Bedrock
Intelligence
Zentera Labs
Agent Intelligence Feed
2,495+ MCP servers catalogued and tracked
7,859+ VS Code extensions with behavioral profiles
Risk scoring from known agent behavioral data
Continuously synchronized — not a static snapshot
Powers discovery by cross-referencing detected agents
Why trust it
Built on architecture already in production.
The AI governance layer is new. The underlying architecture is not. Zentera's CoIP Platform has operated Virtual Chambers and enclaves in production at enterprises in semiconductor, pharma, and financial services for years.
Ensage extends that proven infrastructure to AI agents - rather than inventing a security architecture for the AI category from scratch.
1
Enclave isolation is demonstrable. An agent in Project A attempting to reach Project B resources is denied at the network layer - not by policy alert, but because the resources are not reachable. Demonstrable in a ten-minute POC.
2
Process-level visibility is verifiable. zLink sees the process, not just the traffic. The log is the evidence.
3
Credential substitution ships today. Enterprise API keys terminate at the ASC. The agent never holds the real credential.
4
Deployed in production at IP-sensitive enterprises. Zentera's existing customer base in semiconductor and pharma provides architectural credibility, not just analyst citations.
"They told us we didn't need to replace our entire network. That kind of honesty is rare."
Director of Infrastructure · Fortune 500 Manufacturing
Talk to an architect
Tell us what's running in your environment.
We map where controls have gaps at the network layer and tell you directly whether Ensage fits your architecture. Specific environments, specific constraints - not a standard demo.
Technical discussion about your specific environment and constraints
Assessment of feasibility, gaps, and realistic next steps
