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

Veto Authority

Veto Authority

Veto Authority

The formal right held by a governance body or stakeholder to block or require changes to AI deployments that pose unacceptable risks.

The formal right held by a governance body or stakeholder to block or require changes to AI deployments that pose unacceptable risks.

Updated

A governance mechanism granting specific roles (e.g., AI Ethics Board chair, Chief Risk Officer) the power to halt or demand modification of AI projects that fail to meet risk or ethics thresholds. Veto decisions are recorded, justified with documented rationale, and trigger action plans to address identified issues before any resubmission.

Example

A retail bank’s AI Steering Committee reserves veto authority. When a pilot of a customer-scoring model exhibits demographic parity below the acceptable threshold, the committee exercises its veto, pausing deployment until bias remediation measures are implemented and revalidated, ensuring no high-risk model goes live without committee approval.

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.