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

Operational Resilience

Operational Resilience

Operational Resilience

The ability of AI systems and their supporting infrastructure to anticipate, withstand, recover from, and adapt to disruptions or adverse events.

The ability of AI systems and their supporting infrastructure to anticipate, withstand, recover from, and adapt to disruptions or adverse events.

Updated

Involves redundancy (failover servers), disaster-recovery plans (backups, warm-standby clusters), autoscaling to handle traffic spikes, and chaos-engineering drills to test system robustness. Governance requires defining resilience SLAs (RTO, RPO), conducting regular drills, and embedding resilience requirements into system design and procurement.

Example

A healthcare AI for critical-care monitoring runs in an active-active cloud deployment across two regions. If one region fails, traffic seamlessly shifts to the other. Quarterly chaos tests simulate region outages, verifying automatic failover within the one-minute SLA, ensuring uninterrupted patient monitoring.

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.