Enzai MCP server
Connects to your AI.
Any MCP-compatible agent gets the same governed connection, right where your teams already work.
Some of our integrations
Workflow tools
Jira, ServiceNow
Model providers
Anthropic, OpenAI
Agent tools
Copilot Studio, Claude Enterprise
Development environments
Azure AI Foundry, Amazon Bedrock, Databricks

Glossary

Zone-Based Access Control

Zone-Based Access Control

Zone-Based Access Control

A network or data governance approach that divides resources into zones with distinct policies, restricting AI system access according to data sensitivity.

A network or data governance approach that divides resources into zones with distinct policies, restricting AI system access according to data sensitivity.

Updated

Architectural segmentation where environments (e.g., dev, test, prod) or data classifications (e.g., public, internal, confidential) are assigned to distinct network or logical “zones.” Access policies (firewalls, IAM roles, encryption) are tailored per zone. Governance requires defining zone trust levels, documenting inter-zone communication rules, and auditing zone configurations regularly to prevent unauthorized lateral movement or data leaks.

Example

A healthcare AI platform enforces zone-based access: patient-identifiable data resides in a “confidential” zone accessible only by the privacy-approved analytics service, while anonymized datasets live in an “internal” zone for broader data-science experimentation, ensuring strict separation and policy enforcement across zones.

Govern the AI you actually use.

Govern the AI you actually use.

Govern the AI you actually use.

Start with what’s in use.

Start with what’s in use.

Start with what’s in use.

Book a demo and we’ll show you how Enzai finds the AI in use, gives each system an owner and keeps the record.

Book a demo and we’ll show you how Enzai finds the AI in use, gives each system an owner and keeps the record.