AI governance
Establish robust AI governance frameworks that maintain compliance, mitigate risks, and drive trust through visibility, lifecycle management, and policy enforcement
Atlan governs the full lifecycle of AI-ready data: visibility into what agents can access, policy enforcement at the asset level, and lineage that makes every decision auditable.
AI Governance in Atlan serves as a control plane that brings together all context and humans in one place. It enables organizations to govern their AI assets effectively through visibility, lifecycle management, risk assessment, policy enforcement, and monitoring capabilities.
Core offerings
Visibility and discovery
Gain comprehensive visibility into all AI assets including models, model versions, and applications across your organization
Lifecycle management
Track and manage the complete lifecycle of AI models, model versions, and applications from creation to retirement
Risk assessment
Evaluate and assess risks associated with AI assets to make sure compliance and ethical use
Policy enforcement
Enforce governance policies and make sure AI assets meet organizational standards and regulatory requirements
Get started
Follow this process to set up and configure AI governance in your environment.
Create AI model
Register AI models and their versions in Atlan through a guided 3-step wizard to begin tracking and governing your AI assets.
Create AI app
Register and configure AI applications in Atlan to manage the complete lifecycle of your AI solutions.
Known limitations
- Request Data Access not supported on AI assets: Atlan's native Request Data Access workflow currently does not support AI Model or AI Application asset types. The Request access option is intentionally not exposed on these assets. As a workaround, use Data Products to govern access to AI Models and AI Applications—publish the AI assets as part of a data product and manage requests through the data product's access controls.