The exact question, response, verdict, and failure pattern—not just an aggregate score.
AI audit evidence · on your infrastructure
Audit your AI. Know what failed, why, and what needs to change.
VeriTrooper tests real AI interactions against the approved material they are supposed to follow, records every finding, and delivers a verifiable evidence package another reviewer can inspect.
Source-grounded findingsRepeatable test recordIndependent verificationHuman signoff
THE VERITROOPER AUDIT SYSTEM
From approved source to reviewable audit record.
Establish the evidence. Test the interaction. Isolate the failure. Preserve the decision.
AUDIT BASISApproved source materialDocuments · policies · records · expected behavior
TEST · TRACE · REVIEWAuditable findingsConnect each verdict to the tested interaction, governing evidence, remediation, and signoff
REVIEWABLE OUTPUTVerifiable evidence packageFindings · sources · run record · remediation · integrity verification · human signoffInspect the evidence →
What the audit gives you
A record you can act on—and defend.
The approved source, rule, or expectation used to evaluate the interaction.
Evidence that helps the team locate problems in prompts, retrieval, policy, source data, or model behavior.
A repeatable run record that shows what changed when the corrected system is tested again.
One assurance system · three checkpoints
Test the data. Audit the answers. Monitor what ships.
Before you build
SitRep
Find duplicates, contradictions, stale versions, and structural weaknesses before an AI learns to repeat them.
Governance service includedExplore SitRep →
Before you ship
Scout
Audit any model or assistant against your sources and preserve every verdict, failure, and fix.
Governance service includedExplore Scout →
After you ship
Watchtower
Capture or probe production answers, evaluate them on a cadence, and identify drift and recurring failures.
Governance service includedExplore Watchtower →Correct with precision
Move from “the score is low” to “this is what needs correction.”
VeriTrooper does not stop at pass or fail. It ties each finding to the tested interaction and the evidence that governed it, so your team can decide what part of the AI system needs attention and prove whether the correction worked.
See how findings are produced →01
Locate the failure
Preserve the question, answer, verdict, and observed failure
02
Trace it to evidence
Identify the source or expectation the answer did not satisfy
03
Correct the system
Use the record to target prompts, retrieval, policy, data, or model behavior
04
Prove the fix
Rerun the audit and preserve the new result beside the original
EU AI Act evidence
Turn test results into review-ready technical documentation.
VeriTrooper organizes measured accuracy, robustness, limitations, testing procedures, dated run records, and human signoff into evidence that supports Article 11 and Annex IV documentation.
- Annex IV testing and validation record
- System card, data card, and framework crosswalk
- Traceable findings, run configuration, and reviewer disposition
Governance service · included with all three products
Carry each product's evidence through accountable review.
The shared governance service brings a Scout, SitRep, or Watchtower package together with system facts, legal classification, oversight measures, owners, remediation, and named human decisions. It is a service within the three products—not a fourth product—and it does not make legal determinations for the operator.
- Verified evidence-package intake from any core product
- Recorded classification, exception, and remediation decisions
- Named owner, reviewer, approver, legal entity, and review date
What audit-driven correction can unlock
Measured improvement, preserved as evidence.
These results demonstrate a valuable consequence of the audit process—not its entire purpose. Each improvement is backed by a dated run record and inspectable methodology.
88.08%SEC 10-K · gpt-5.6-solfrom 72.89% · n=889 · 26 Aug 2026
96.60%IRS tax code · claude-fable-5from 88.40% · n=1,000 · 26 Aug 2026
96.60%FDA drug labels · gemini-3.1-pro-previewfrom 90.60% · n=1,000 · 26 Aug 2026
89.96%Combined corpus · local air-gapfrom 84.74% · n=249 · 15 Aug 2026
Why the audit holds up
The model under test never gets the final say.
Clear-cut answers are settled with deterministic checks against verified ground truth. Contested cases can be routed to an independent model from a different vendor. A qualified human reviews the finished result and records signoff.
Read the assurance method →01
Ground truth
Questions and reference evidence from approved sources
02
Deterministic checks
Reproducible rules settle clear cases
03
Independent review
Contested verdicts receive a separate opinion
04
Human signoff
A named reviewer accepts the scoped result
CUSTOMER ENVIRONMENTSourcesVeriTrooperEvidence package
↔
OPTIONALCustomer-selected model endpoint
Your environment · your evidence
Designed for sensitive deployments.
VeriTrooper uploads nothing to VeriTrooper. Air-gapped work stays on-host. When you configure a cloud model, the application communicates directly with that provider under the boundary you approve.
Review security and deployment →Windows Evaluation Suite · RC30
Try all three audit products.
14 days from the first real audit, five shared runs, and up to 200 questions or evaluated interactions per run. The current installer is an unsigned pre-release.
10-business-day evidence sprint
Bring one important AI workflow.
One product, one use case, one approved source corpus, and up to 250 questions or monitored turns—ending in a verifiable package and executive readout.