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

Dynamic Risk Assessment

Dynamic Risk Assessment

Dynamic Risk Assessment

The continuous process of identifying and evaluating risks in real-time, allowing for timely responses to emerging threats in AI systems.

The continuous process of identifying and evaluating risks in real-time, allowing for timely responses to emerging threats in AI systems.

Updated

Moves beyond static, point-in-time risk reviews by integrating live monitoring (performance drift, security alerts, bias incidents) with automated risk-scoring engines. Governance workflows define risk thresholds tied to automated triggers (e.g., rollback, rapid incident response), ensuring AI threats are addressed as they arise rather than discovered after harm.

Example

A payment-fraud AI platform implements dynamic risk assessment: live transaction data feed into a risk dashboard that scores emerging fraud patterns. When risk scores exceed thresholds, the system throttles transactions and notifies fraud analysts for immediate investigation, stopping fraud spikes in near real time.

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.