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

Inherited Data Risk

Inherited Data Risk

Inherited Data Risk

The regulatory and ethical liability an organization assumes when using an AI system trained on data they did not collect or vet themselves.

The regulatory and ethical liability an organization assumes when using an AI system trained on data they did not collect or vet themselves.

Updated

When an enterprise adopts third-party AI, they inherit any upstream flaws in the training data, such as lack of legal basis under GDPR, copyright infringement, or historical bias. Even if the enterprise's own use of the tool is ethical, the legal foundation of the system may be compromised, leading to potential enforcement or class-action litigation.

Example

A company uses an AI-powered image generator for a global ad campaign only to find the vendor used copyrighted art without permission. The company faces a public PR crisis and legal demands to pull the campaign despite having no role in the training process.

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.