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

Probabilistic System

Probabilistic System

Probabilistic System

A system where outputs are based on statistical likelihood rather than deterministic, fixed logic.

A system where outputs are based on statistical likelihood rather than deterministic, fixed logic.

Updated

Unlike traditional software that always produces the same output for a given input (deterministic), AI systems provide the most likely answer. This inherent uncertainty is why AI governance requires continuous monitoring and human oversight, as the system can produce unexpected hallucinations or errors even when functioning correctly.

Example

A rule-based calculator is deterministic (2+2 is always 4), but an AI chatbot is probabilistic; it might answer a question correctly 99 times and hallucinate a non-existent legal case on the 100th time based on statistical patterns in its training data.

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.