FRAMEWORK ALIGNMENT
Zero Trust for AI agents, delivered as infrastructure.
Anthropic published a framework for deploying autonomous agents securely in the enterprise. It defines what secure looks like. TrustHouse is the layer that makes it real, inside your own perimeter, in under a week.
Zero Trust for AI Agents is published by Anthropic. This page is TrustHouse's own mapping of its platform to that framework. It is not an endorsement, certification, or assessment by Anthropic.
Trust nothing. Verify everything. Assume breach.
The framework replaces perimeter security with three principles. Every one of them gets harder the moment an agent can choose its own tools and act without you.
Never trust, always verify
Every request is authenticated and authorized, whatever its origin. Inside the network earns no discount.
Assume breach
Design for compromise, not against it. Segment by identity so one compromised agent does not become all of them.
Least agency
Constrain not just what an agent can reach, but what it can do, how often, and where. A summarizer gets no send rights.
The framework's own design test: does this control make the attack impossible, or just tedious? Friction is not a barrier. TrustHouse is built for the first answer.
The framework tells you what to build. It does not build it.
Every control below is achievable. Assembled in-house, it is a multi-quarter platform program before a single agent reaches production.
CAPABILITY DOMAINS to implement, from identity through recovery
IMPLEMENTATION PHASES before an agent is production-ready
MATURITY TIERS, with Enterprise as the stated target for most organizations
TIME TO LIVE with TrustHouse, from signed agreement to production
The framework, domain by domain.
Seven capability domains. What the framework asks for, and where TrustHouse delivers it.
What the framework asks for
Every agent instance needs a persistent, cryptographically rooted identity that appears in all logs and access requests. Static API keys and shared service accounts are treated as already compromised. Short-lived, narrowly scoped tokens are the baseline.
How TrustHouse delivers
Every agent, model, and connector registers through the Secure AI Gateway and carries a persistent identity into every request and every log line. No anonymous calls reach your data.
The attacks the framework was written for.
Named in the guide. Answered in the platform.
Indirect prompt injection
Malicious instructions hidden in a web page or a document the agent reads. The user never sees the payload. Answered at the Gateway, where every input is inspected before the model sees it.
Tool poisoning and chaining
A compromised tool, or two legitimate tools combined into an exfiltration path. Answered by brokering every tool call through a single control point, so the sequence is visible even when each step looks valid.
Shadow AI
Employees adopting models with no approval, bypassing every control you built. Answered by automated discovery and enforcement, with full visibility.
Privilege inheritance
A manager agent handing its full access context to a worker agent that should have had a fraction of it. Answered by scoping identity per agent at the Gateway rather than per deployment.
Memory and context poisoning
Corrupted context that keeps serving the attacker long after the injection. Answered by the Context Engine, where retrieved context is grounded and its lineage is provable.
Unexplainable decisions
The failure that only surfaces under regulatory pressure. Answered by immutable decision logs and full lineage, replayable on demand.
Eight phases in the framework. One deployment with TrustHouse.
Point TrustHouse at what you have already built, on Bedrock, Vertex, Azure OpenAI, or any model, and the rails apply immediately. No rip and replace.
PaaS in your perimeter
Runs as a managed service inside your infrastructure. The ease of SaaS with the control of on-prem.
No lock-in
No cloud dependency. No model dependency. Swap either, any time.
AWS Marketplace ready
Procure and deploy under your existing AWS commitment.
The framework says architect for breach from day one.
Day one has usually passed by the time this reaches a security review. TrustHouse retrofits the rails onto what you are already running.
Zero Trust for AI Agents is a publication of Anthropic and reflects Anthropic's own guidance. The mapping on this page is TrustHouse's, and describes TrustHouse capabilities only. It does not represent an Anthropic assessment, endorsement, or certification of TrustHouse, and it is not legal, compliance, or security assurance for any environment.