How AI Governance Platform Gets Context
AI Governance Platform works alongside your existing AI systems. Keep your models, prompts, datasets, and execution workloads where they are; bring the governance context needed to understand, evaluate, and govern them.
Register governed assets and relationships, then report runtime activity and evidence through REST API or MCP.
Ways to Start
Create and Manage Assets
Register models, prompts, datasets, and evaluation providers directly in Studio. These assets become part of the governed catalog and can be connected through explicit relationships and lineage.
Connect Existing AI System
If your AI assets and workloads already live elsewhere, connect through the REST API or MCP. Register the assets you want governed and report relevant activity such as executions, evaluation results, and evidence.
What Should You Send?
You do not need to send all application data. AI Governance Platform needs the governance-relevant context required to understand what exists, how it is related, what happened, and what evidence was produced.
For example, an application might register a model and prompt once, then report executions and evaluation results as the system operates.
Keep your AI systems where they are
AI Governance Platform does not become your model-serving runtime, prompt deployment system, or workflow executor. It records the governed context that makes decisions, lineage, audit, and replay possible.Explore Before Integrating
Not ready to connect a real system? Start with the local demo environment. It provides representative assets, executions, evaluations, relationships, and governance data so you can explore the complete workflow first.