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

Regulatory Compliance

Regulatory Compliance

Regulatory Compliance

Ensuring AI systems adhere to applicable laws, regulations, and industry standards (e.g., GDPR, FDA, financial oversight) throughout their operation.

Ensuring AI systems adhere to applicable laws, regulations, and industry standards (e.g., GDPR, FDA, financial oversight) throughout their operation.

Updated

The ongoing process of mapping legal requirements to technical and operational controls (privacy-by-design for GDPR, explainability and clinical validation for FDA, audit trails for financial regulators) and then implementing, monitoring, and documenting those controls. Compliance activities include legal-impact assessments, automated policy enforcers, training programs, and periodic audits to demonstrate adherence to regulatory obligations.

Example

A medical-device company ensures FDA compliance for its diagnostic-AI by conducting clinical trials, documenting software validation activities, and maintaining a design history file. Post-market, they monitor adverse events and submit regular safety reports to regulators, aligning technical practices with legal mandates.

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.