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

Third-Party Risk

Third-Party Risk

Third-Party Risk

The exposure arising from reliance on external data providers, model vendors, or service platforms that may introduce compliance or security vulnerabilities.

The exposure arising from reliance on external data providers, model vendors, or service platforms that may introduce compliance or security vulnerabilities.

Updated

Involves due-diligence on vendors’ data-protection practices, security controls, and governance maturity. Contractual measures include SLAs, audit rights, and indemnification clauses. Governance teams maintain a third-party registry, conduct periodic risk assessments (e.g., SOC-2 reports), and monitor vendor performance. High-risk vendors trigger enhanced oversight: penetration tests, compliance audits, and contingency plans for vendor failure.

Example

A bank’s AI team evaluates a third-party fraud-detection API by reviewing its SOC-2 Type II report, conducting a security questionnaire, and running an ethical-AI audit of its model. The vendor is classified as “High Risk,” requiring quarterly re-audits and a fallback plan to switch to an in-house solution if standards slip.

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.