Every AI Decision, Traceable from Data to Outcome.
Trace any AI decision back to the data, the model, the policy, and the score behind it. So when someone asks why, you have the answer.
Five Layers. One Defensible AI Estate.
From the shadow agents you don't know about to the certified decisions in production, all in one continuous governance plane.
Shadow AI Discovery
Discover every hidden or unapproved AI deployment instantly.
ExploreAgent Discovery & Catalog
One record per agent: owner, trust score, and history, across every environment.
ExploreDecision Lineage
Full causal chain from data to business outcome.
ExploreContinuous Assurance Monitoring
A live integrity score for every agent and decision.
ExploreLineageTalk
Ask any question about any decision, in plain English.
ExploreSHADOW AI DETECTION
Your Teams Built AI Agents Without Telling You.
Discover and govern every hidden AI deployment in your enterprise, including the ones IT doesn't know about.
Every shadow agent surfaces automatically.
Continuous scans find rogue deployments, untracked LLM API calls, and unsanctioned integrations before they reach production data.
Risk classified the moment it's discovered.
Each shadow deployment is scored by data sensitivity, regulatory exposure, and decision authority, so you know what to remediate first.
Governance without shutting down innovation.
Shadow agents come under policy without disrupting the teams that built them; visibility wins, velocity stays.
AGENT DISCOVERY & CATALOG
One Registry for Every AI Agent in Your Enterprise.
Known agents, shadow agents, agents built outside TrustHouse: discovered, cataloged, and scored automatically.
Every Agent Discovered, Not Just the Ones You Know About.
Automated crawlers pull live agent inventories from your AI infrastructure. Nothing has to be manually registered to be seen.
A Trust Score for Every Agent, Not Just a Name in a List.
Agents are evaluated across multiple quality dimensions, including bias and prompt injection resistance, scored per persona, and certified with a downloadable evidence report.
History You Can Go Back To, Not Just a Snapshot of Today.
Every scan is preserved. See exactly what agents existed, what changed, and when, at any point in time.
Agents Built Outside TrustHouse, Cataloged Just the Same.
Import agents from your existing cloud environment by connecting your infrastructure. No rebuild required to bring an agent into the registry.
From Discovered to Defended in One Click.
Attach a security gateway to any cataloged agent directly from its record. Discovery and protection live in the same workflow.
DECISION LINEAGE
When the Board Asks "Why Did the AI Do That?", Answer in Minutes.
Reconstruct any decision your AI ever made, end to end, in the time it takes to open a dashboard.
Every decision carries its own evidence.
Data sources, model version, policy checks, risk score, and outcome, all recorded automatically.
Replay any past decision exactly as it was made.
See the data, the model version, and the policy state at that exact moment in time.
Lineage that doesn't break between systems.
Decisions stay traceable across warehouses, model servers, agents, and business apps.
CONTINUOUS ASSURANCE MONITORING
Certified Last Month Isn't the Same as Trustworthy Today.
Every AI agent gets a live trust score that updates as it operates. So you know which ones to act on, today.
Drift surfaces the moment it happens.
Scores update in real time as data, models, or behavior shift.
Know exactly what caused a score to drop.
Drill into the model change, data shift, or policy update behind the change.
Controls fire when scores cross your thresholds.
Alert, escalate, require human review, or block. You set the rules.
LineageTalk — Powered by Claude
Ask Your Lineage a Question. Get an Answer.
Ask any question about any data trace or decision in your enterprise. In plain English, with an answer you can defend.
Account #4821 was approved by risk_model_3.2 using the credit_features_v7 snapshot from 02:14 UTC. Policy lending_v4 cleared all 9 controls; trust score at decision time was 94%.