TRUSTHOUSE VS MICROSOFT PURVIEW
Purview is a strong choice for Microsoft 365 data security and Copilot oversight. Enterprise AI now runs across Bedrock, Vertex, legacy file shares and agents built by five different teams. TrustHouse extends trust controls to all of it.
WHAT PURVIEW DOES WELL
These are mature and native to Microsoft 365. Purview's unified Data Security Posture Management now brings AI observability into the same console, covering Copilot, Copilot Studio agents, Microsoft Foundry and supported third-party AI apps. If most of your sensitive data and AI usage lives in Microsoft 365, Purview belongs in your stack.
WHERE IT STOPS
Posture insights for platforms like Google Cloud, Snowflake and Databricks come through partner integrations, and Microsoft listed them as preview in 2026.
Posture management tells you where risk sits. Your custom agents on Bedrock or Vertex still need something in the request path that scores a decision before it executes.
Legacy NAS shares, on-prem directories and unstructured repositories hold data your AI will eventually read.
Labels and DLP protect content. They don't reconstruct why an agent approved a claim or denied a loan.
WHAT TRUSTHOUSE ADDS
HOW TEAMS RUN BOTH
Purview stays the control point for Microsoft 365 content. TrustHouse controls the AI that runs across your other clouds, your legacy systems and the agents your teams build.
Microsoft 365 content
Purview
Everything around it
TrustHouse
One layer of decision provenance across the whole estate
| Microsoft Purview | TrustHouse | |
|---|---|---|
| Microsoft 365 labeling, DLP, eDiscovery | Core strength | Keep Purview for this |
| Copilot and Microsoft AI observability | Native | Controls AI across any vendor |
| Non-Microsoft clouds and data platforms | Via partner integrations | Native connectors, model-agnostic |
| In the runtime path of custom agents | Posture and policy | Secure AI Gateway |
| Risk scoring before a decision executes | Risk posture and alerts | AI Risk Engine |
| Decision-level provenance | Audit of AI interactions | Data-to-outcome decision trace |
| Where it runs | Microsoft cloud | Inside your VPC |
Microsoft 365 labeling, DLP, eDiscovery
Keep Purview for this
Copilot and Microsoft AI observability
Controls AI across any vendor
Non-Microsoft clouds and data platforms
Native connectors, model-agnostic
In the runtime path of custom agents
Secure AI Gateway
Risk scoring before a decision executes
AI Risk Engine
Decision-level provenance
Data-to-outcome decision trace
Where it runs
Inside your VPC
If all your AI is Copilot on Microsoft 365 data, Purview may be enough. Once agents run on Bedrock or Vertex, or read data outside Microsoft 365, you need a layer that controls those decisions too.
No. The strongest setup uses Purview for Microsoft 365 content and TrustHouse for AI across the rest of the estate.
Yes. Point TrustHouse at builds on Azure OpenAI, Bedrock, Vertex or any model.