FOR THE CISO
TrustHouse gives the CISO active defense, certification, and continuous monitoring across every AI agent. It's built for the threat landscape your cloud-default guardrails weren't designed for.
Firewalls, endpoint protection, and IAM were designed for systems you control. AI agents move faster, decide autonomously, and reach across platforms you don't.
Shadow AI keeps appearing in production. Some of it touches customer PII.
Prompt injection, jailbreaking, and exfiltration are the real threats, and baseline cloud protections weren't built to stop them.
Model updates, data shifts, configuration drift. Yesterday's safe agent isn't today's.
If an agent leaked data or made a wrong call, we need the trail. Today, we don't have one.
Pulled from the modules built specifically for the trust your AI agents have to earn.
TrustHouse finds unsanctioned agents in production and puts active defense in front of all of them: prompt injection detection, exfiltration prevention, and edge-level policy enforcement.
ExploreAdversarial red-teaming certifies every agent before deployment and produces a verifiable test record, not a promise.
ExploreContinuous monitoring surfaces drift the moment it happens, and every agent action is logged immutably, so when an incident occurs you already have the full trail.
ExplorePre-deployment
Agent certification
No agent reaches production without an adversarial test record.
Edge-level
Threat interception
Prompt injection and exfiltration blocked before the agent processes the request.
Cross-platform
Unified security posture
Same defenses on AWS, Azure, and GCP. Agent-framework-agnostic.
TrustHouse gives every agent the security posture you demand from every other system in your enterprise.
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.