You can’t govern what you can’t trace

The conversation about AI governance usually starts with outputs: hallucinations, incorrect answers, models that confabulate with confidence. But most governance failures start much earlier, when sensitive data moved somewhere it shouldn’t have, silently.

When that full graph exists, it changes what’s possible. With column-level PII propagation, cost attribution, freshness, cross-system dependency tracing, ownership, and usage all flowing through your graph, agents operate with real context, not a partial picture. Data is fully traceable. FinOps becomes a product capability instead of a mystery. Sensitive data stays governed across the full pipeline.

In this session, we’ll walk through what it takes to build a graph that spans the full data lifecycle, from source, to model, to consumption, and what that foundation actually unlocks for your teams and agents.