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

Data Ingestion Risk

Data Ingestion Risk

Data Ingestion Risk

The danger that sensitive or proprietary information will be permanently absorbed into an AI model's training set during a user's interaction.

The danger that sensitive or proprietary information will be permanently absorbed into an AI model's training set during a user's interaction.

Updated

This is a primary risk of unsanctioned AI. If a provider's terms allow them to use prompts for model improvement, any pasted data becomes part of the model's parametric knowledge. Unlike a file on a server, this data cannot be deleted through standard IT procedures once the training cycle is complete, leading to potential long-term intellectual property leaks.

Example

An engineer pastes proprietary source code into a public AI tool to debug it. The code is ingested and used to train the next version of the model, potentially allowing competitors to prompt the AI for similar logic in the future.

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.