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

Fault Tolerance

Fault Tolerance

Fault Tolerance

The ability of an AI system to continue operating correctly even when some components fail or produce errors.

The ability of an AI system to continue operating correctly even when some components fail or produce errors.

Updated

Involves architectural patterns (redundant components, graceful degradation, checkpointing, and transaction rollbacks) that ensure AI services remain available and safe under partial failures. Governance prescribes fault-injection testing (chaos engineering), failure-mode analyzes, and clear service-level objectives for recovery time and service continuity.

Example

A cloud-based image-classification API runs on multiple container instances behind a load balancer. If one instance crashes during a high-volume event, traffic automatically shifts to healthy pods, and crashed instances restart without user impact. The ops team regularly performs chaos tests to validate fault-tolerance mechanisms.

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.