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

Ethical AI Auditing

Ethical AI Auditing

Ethical AI Auditing

The process of systematically evaluating AI systems to ensure they comply with ethical standards and do not cause harm.

The process of systematically evaluating AI systems to ensure they comply with ethical standards and do not cause harm.

Updated

A specialized audit that examines model fairness, bias mitigation, data privacy, transparency, and governance processes against ethical benchmarks. Ethical audits involve stakeholder interviews, code and data reviews, model testing on sensitive subgroups, and follow-up remediation tracking. Reports typically include risk ratings and action plans.

Example

A university’s AI Ethics Office conducts an Ethical AI Audit of its student-advising chatbot. Auditors test for biased advice toward certain majors, review student-data privacy controls, and verify that the bot discloses its AI nature. The resulting audit report leads to refining training data and updating consent messages.

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.