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

Permissioning

Permissioning

Permissioning

The management of user and system access rights to AI data and functions, ensuring least-privilege and preventing unauthorized use.

The management of user and system access rights to AI data and functions, ensuring least-privilege and preventing unauthorized use.

Updated

A fine-grained access-control framework that assigns roles and permissions at the object level (datasets, models, API endpoints) based on job functions. Permissioning integrates with IAM systems, enforces just-in-time privilege grants, and audits all access attempts. Governance periodically reviews permission mappings, revokes stale entitlements, and enforces separation-of-duties to prevent conflicts of interest and insider misuse.

Example

An MLOps platform implements RBAC: data scientists have “read-only” access to production datasets but “write” access to sandbox data. Only compliance officers can approve elevated privileges for special analytics projects. Automated reports flag any changes to permission assignments for quarterly review.

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.