TRUSTHOUSE VS AI GOVERNANCE PLATFORMS
AI governance platforms give you a program of record: inventories, risk assessments, and policy mapped to frameworks like the EU AI Act and NIST AI RMF. That work matters. TrustHouse is where those policies actually fire, on every request, before the decision executes.
TWO DIFFERENT JOBS
“Is this AI system approved?”
“Is this action allowed, right now?”
| Policy platform | TrustHouse | |
|---|---|---|
| Unit of work | The documented AI system | The individual AI request and decision |
| When it acts | Intake, review, periodic monitoring | On every request, before execution |
| What it produces | Assessments, registers, attestations | Blocked actions, risk scores, replayable decision logs |
| Who uses it | Risk, compliance and legal teams | Security, data, AI and compliance teams together |
Unit of work
The individual AI request and decision
When it acts
On every request, before execution
What it produces
Blocked actions, risk scores, replayable decision logs
Who uses it
Security, data, AI and compliance teams together
WHERE THE GAP SHOWS UP
Register
Policy: Customer PII never leaves the region
CompliantA policy says customer PII never leaves the region. An agent sends it anyway. The register still shows the system as compliant, because nothing in the register sits in the path of the request. That distance is where incidents, audit findings and regulatory exposure come from.
Some vendors in this category are adding runtime controls, often as separate products or roadmap items. Ask any vendor one question:
Is this control in the request path, and what happens when it fires?
WHAT TRUSTHOUSE ADDS
Policies evaluated at the entry boundary of every request. Violations intercepted, not reported after the fact.
Every decision scored against a live risk model before it runs.
Immutable, replayable evidence generated as AI runs. The audit trail your register needs, produced automatically.
Trust scores and monitoring across every agent, updated after every execution.
HOW TEAMS RUN BOTH
Your register stays the system of record for the AI portfolio. TrustHouse enforces the policies it documents and produces the runtime evidence that proves they held.
If your AI is in pilots, a register may be enough for now. Once agents act on production data, you need controls in the request path. That's TrustHouse.
TrustHouse supports compliance by producing the controls and evidence the Act expects from AI in operation. See our EU AI Act page for detail.
For some teams, the evidence TrustHouse produces covers most of what they need. Most large enterprises keep both.