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

NIST AI Risk Management Framework

NIST AI Risk Management Framework

NIST AI Risk Management Framework

A voluntary guidance from the U.S. National Institute of Standards and Technology outlining best practices for mitigating risks across AI system lifecycles.

A voluntary guidance from the U.S. National Institute of Standards and Technology outlining best practices for mitigating risks across AI system lifecycles.

Updated

A non-binding set of principles and practices organized into Core Functions (Govern, Map, Measure, Manage) and Tiers (organizational maturity levels). It helps organizations identify AI risks (bias, safety, security), prioritize controls, and measure progress over time. Governance integrates the NIST AI RMF into policies, aligns internal risk-assessment tools to its categories, and uses its maturity model to benchmark capabilities against peers.

Example

A financial firm adopts the NIST AI RMF: they map all AI assets to RMF risk categories, assign each a maturity tier, and conduct quarterly “Map” sessions to refresh risk profiles. Over a year, they progress from Tier 2 (Repeatable) to Tier 3 (Defined) by formalizing risk-assessment templates and integrating them into project workflows.

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.