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

Privacy Impact Assessment

Privacy Impact Assessment

Privacy Impact Assessment

A structured analysis to identify and mitigate privacy risks associated with AI systems, covering data collection, use, sharing, and retention.

A structured analysis to identify and mitigate privacy risks associated with AI systems, covering data collection, use, sharing, and retention.

Updated

A formal process, often required by regulation, where teams catalog data flows, map personal data elements, evaluate legal bases (consent, legitimate interest), identify potential privacy harms, and define mitigation measures (opt-out options, retention limits). The PIA culminates in a report with risk ratings and action plans, and it must be revisited whenever substantial changes occur.

Example

Before launching a customer-segmentation AI, a retail bank conducts a PIA: they document that geolocation and purchase history are collected, assess the necessity and proportionality of each data field, propose monthly auto-deletion of location logs, and secure senior-management sign-off on the completed report.

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.