50+ native connectors across data platforms, AI frameworks, BI tools, and cloud services. Your existing infrastructure stays in place. The trust layer wraps it.
Native integrations across your data and AI estate.
Rip-and-replace. Your existing stack stays in place.
Of trust applied uniformly across every connection.
Pick the layer of your stack, see what TrustHouse plugs into. Lineage, classification, and policy enforcement travel with every connection.
DATA CATALOGS
If your data is already cataloged in any of these, TrustHouse adds lineage, quality scoring, AI consumption mapping, and risk classification on top.





DATABASES & WAREHOUSES
TrustHouse traces, scores, and resolves entities across every major warehouse, lake, and database platform.








ETL & TRANSFORMATION
Every step of your ETL pipeline shows up in the lineage graph. No gaps between source and consumption.





BI & REPORTING
Trace from source data through to the BI layer, so every reported number carries its provenance.

AI FRAMEWORKS & CLOUDS
TrustHouse works across every major cloud and agent framework. The same trust posture applies regardless of where workloads run.






KNOWLEDGE GRAPHS
Risk Ontology and Decision Lineage are built on graph-based reasoning. TrustHouse connects natively to the major graph databases.


TrustHouse provides connectors, MCP servers, and crawlers that let your teams build agents in any platform while running on TrustHouse's trust infrastructure. You build where you want. TrustHouse governs everywhere.
What This Means
No vendor lock-in. No rip-and-replace. Just governance that finally keeps up with your AI.