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

Joint Liability

Joint Liability

Joint Liability

Legal principle where multiple parties (e.g., developers, deployers) share responsibility for AI‐related harms, influencing contract and governance structures.

Legal principle where multiple parties (e.g., developers, deployers) share responsibility for AI‐related harms, influencing contract and governance structures.

Updated

When AI-driven harm occurs, courts can hold all contributing actors (data providers, model developers, operators) jointly liable. Governance must define clear contractual terms allocating risk, implement shared incident-response protocols, and secure appropriate insurance coverage. Joint liability encourages all parties to maintain high governance standards, knowing they bear legal and financial consequences of failures.

Example

A hospital uses a third-party AI for diagnostic imaging. A misdiagnosis leads to patient harm; both the hospital and AI vendor are sued under joint-liability claims. Their contract had jointly defined safety and audit obligations, so liability insurers for both entities share compensation, highlighting the importance of cooperative governance and clear contractual risk allocation.

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.