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

User Consent

User Consent

User Consent

The process of obtaining and recording explicit permission from individuals before collecting, processing, or using their personal data in AI systems.

The process of obtaining and recording explicit permission from individuals before collecting, processing, or using their personal data in AI systems.

Updated

A legal and ethical requirement implemented via clear consent dialogs, granular consent options (e.g., analytics vs. personalization), and immutable logging of granted consents. Governance mandates periodic consent renewals, easy opt-out mechanisms, and mechanisms to honor consent withdrawal (data deletion, processing cessation). Consent records must be auditable and tied to data-access controls to enforce user preferences in all pipelines.

Example

A fitness-app prompts new users with checkboxes for “Health Analytics” and “Social Sharing.” Selected options are stored in a consent ledger. If a user later withdraws consent for analytics, the system automatically excludes their data from model-training pipelines and logs the change for audit.

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.