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

Whitelisting

Whitelisting

Whitelisting

Allowing only pre-approved data sources, libraries, or model components in AI pipelines to reduce risk from unvetted or malicious elements.

Allowing only pre-approved data sources, libraries, or model components in AI pipelines to reduce risk from unvetted or malicious elements.

Updated

A restrictive security control where only explicitly authorized artifacts (dataset URIs, Python packages, container images) are permitted in training and inference workflows. Governance maintains a central whitelist registry with approval workflows for additions and periodic reviews to remove obsolete entries, ensuring all pipeline components meet organizational security and compliance standards.

Example

A financial-services firm configures its MLOps environment so that only Docker images from the internal “approved-images” registry can run training jobs. Any attempt to use unlisted images is automatically blocked, preventing introduction of unvetted code or vulnerabilities.

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.