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

Risk Management Framework

Risk Management Framework

Risk Management Framework

A structured set of guidelines and processes for systematically addressing AI risks across the system lifecycle, from design through retirement.

A structured set of guidelines and processes for systematically addressing AI risks across the system lifecycle, from design through retirement.

Updated

A comprehensive framework, often based on industry standards (e.g., NIST AI RMF), that defines risk principles, roles, processes (assessment, mitigation, monitoring), and governance artifacts (policies, templates). It ensures consistent risk handling by embedding risk activities (impact assessments, audits) into project gateways and by measuring organizational risk maturity over time.

Example

A global insurer adopts the ISO/IEC TR 24028-based AI Risk Management Framework: it establishes risk categories, assigns risk owners, mandates risk checkpoints at key milestones (design, pilot, production), and uses an enterprise dashboard to track risk metrics and framework adoption across all AI projects.

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.