FOR THE CIO
TrustHouse is the platform-agnostic trust layer that gives the CIO cross-system AI accountability without rip-and-replace, without vendor lock-in, without adding another tool to the stack.
You assembled a multi-cloud, multi-platform stack. Now your AI decisions cross boundaries where ownership, governance, and visibility break down.
Data in Snowflake, model in Bedrock, agent in Vertex, action in your business app. The trace doesn't survive.
Three cloud providers, four agent frameworks, two data warehouses. Governance can't keep up.
And each is asking IT for it. Today, that's three integrations and a backlog.
Both want it from you. From the same systems. Today.
End-to-end decision lineage that doesn't break at platform boundaries, across every cloud, model, and agent framework.
See Decision ProvenanceA single enforcement layer that sits above your infrastructure, so access and policy work the same way on every cloud instead of five different ways.
See the Secure AI Gateway50+ native connectors mean nothing gets ripped out. TrustHouse wraps what you already run, so cross-system accountability arrives without another migration or another tool.
Browse integrationsSingle pane
Across every cloud
One view of trust scores, lineage health, and compliance status across the whole stack.
5 → 1
Tool consolidation
Replace five point solutions with one trust layer.
Cross-system
Accountability
When an AI decision spans platforms, the lineage is one continuous chain.
TrustHouse is the layer that gives the CDO data trust, the CISO intelligence security, and the CAIO agent governance, on the stack you already built.
TrustHouse establishes trust by creating a complete chain of evidence from data to AI decisions. It continuously validates data quality, lineage, metadata, business context, AI models, prompts, and outputs, ensuring every insight can be traced back to its source. Rather than relying on trust by assumption, TrustHouse provides trust through verifiable evidence, enabling organizations to confidently use AI for business-critical decisions.
TrustHouse embeds policy enforcement directly into AI workflows instead of adding manual approval gates. Policies, guardrails, and risk controls are automated and enforced in real time, allowing data scientists and developers to innovate while remaining compliant. Teams can deploy AI rapidly because trust controls become part of the development lifecycle, not a bottleneck after deployment.
TrustHouse continuously monitors AI systems for security, privacy, bias, hallucinations, data leakage, and policy violations. It automatically evaluates AI interactions against organizational and regulatory requirements, generating compliance-ready evidence and risk scores. This enables organizations to demonstrate compliance while proactively identifying and mitigating risks before they impact the business.
Yes. TrustHouse is designed as an open trust layer that complements your existing technology investments rather than replacing them. It integrates with enterprise data platforms, AI models, data catalogs, trust tools, cloud providers, identity providers, and security solutions, creating a unified trust and control framework across your entire AI ecosystem regardless of vendor.
Many AI initiatives stall because organizations struggle with security, compliance, and operational readiness. TrustHouse provides reusable policies, automated controls, standardized trust enforcement, and production-ready trust services that eliminate these barriers. By reducing manual compliance work and operational complexity, organizations can accelerate deployment, confidently scale AI across the enterprise, and achieve business value faster.
TrustHouse enables organizations to build AI they can trust, scale AI they can defend, and deploy AI they can prove, without compromising innovation, security, or compliance.