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

Version Pinning

Version Pinning

Version Pinning

The practice of locking an AI system to a specific, tested version of a foundation model to prevent silent updates from changing system behavior.

The practice of locking an AI system to a specific, tested version of a foundation model to prevent silent updates from changing system behavior.

Updated

Foundation model providers frequently release point updates that can subtly change how a model reasons or follows instructions. In agentic workflows, a small change in model logic can break a reasoning chain or bypass a guardrail. Version pinning ensures that the system remains stable and that any model upgrade is treated as a substantial modification requiring new testing.

Example

A bank pins its agentic fraud-detection tool to Model-v1.2 and refuses the provider's automatic update to Model-v1.3 until the risk team can verify the new version won't increase the false-positive rate.

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.