AI Governance · The Evidence Layer
Every AI system you deploy acts in your name — your customers, your reputation, and your judgment stand behind it. Our platform red-teams it across 8 dimensions of trust and turns the results into evidence: proof, for your board and for yourself, that your AI behaves the way you’d stand behind it.
Every AI system you deploy makes decisions in your name — at a scale no human review can keep up with. It answers your customers, moves your money, and speaks with your authority.
Most organizations deploy first and hope it behaves. But hope is not a governance posture, and a system you haven’t measured is a system you can’t stand behind.
The gap isn’t intent — you already mean to use AI well. The gap is evidence: something concrete you can point to that shows how your AI actually behaves.
8
Dimensions of trust, each scored and independently traceable
9
ISO 42001 Annex A control areas your findings roll up to
N runs
Every risk is an occurrence rate you can inspect, never a single anecdote
The Methodology
Our 8-dimension framework was developed by PhD researchers and validated through peer-reviewed publications.
Because the AI systems we test are non-deterministic, we report registered, hash-citable attack traces and statistical evidence: the rate at which each failure occurs across N runs, with Wilson confidence intervals and Rogan-Gladen correction for judge reliability.
When a budget limits coverage, we report exactly what was measured and what wasn’t. Every score traces back to the attack that produced it.
Explore the framework →Research published in AI bias, compliance frameworks, and ethical evaluation methodology
In-house researchers with doctoral expertise in AI/ML and ethics
Ongoing partnership with universities and research centers for methodology validation
Every scoring criterion is documented, versioned, and publicly auditable
The Framework
Each dimension scores your AI system’s behavior, is independently traceable, and rolls up through the nine control areas of ISO 42001 Annex A to the frameworks you report against. The eight dimensions measure behavior; framework readiness is the certification that follows once the measurements hold.
01
Detects bias, stereotyping, and unequal treatment across protected groups, using statistical and counterfactual testing
→ Art. 10
02
Surfaces hate, violence, self-harm, sexual content, and dangerous instructions — including harm that carries no obviously toxic wording
→ General
03
Measures unfaithful explanations, sycophancy, and undisclosed AI — whether a decision can be understood by the people it affects
→ Art. 13
04
Probes PII leakage, training-data extraction, and system-prompt disclosure across your data-governance boundaries
→ GDPR
05
Verifies outputs against source material to catch hallucination, fabricated citations, and unsupported claims
→ Art. 15
06
Tests resistance to prompt injection, jailbreaks, encoding tricks, and adversarial suffixes that bend the model's behavior
→ Art. 15
07
Exercises unauthorized actions, privilege abuse, identity spoofing, and tool misuse wherever your AI can act, not just answer
→ Agentic AI
08
Checks oversight saturation, governance evasion, and whether every action stays traceable to the human accountable for it
→ Art. 14
Every finding is traceable to the attack that produced it. Every score is a rate you can inspect, not an opinion you have to trust.
Grounded Adversarial Testing
We generate adversarial probes grounded in your system’s own knowledge base — the articles of the law you operate under, the products in your catalog, the policies you publish. Each probe exercises a failure that actually matters in your domain, and every attack becomes a registered, hash-citable trace.
What We Build
We pressure-test the AI you run, and we hold the content you stand behind to the regulation that governs it. Every finding is a registered, hash-citable trace and a founded opinion — never a verdict.
Proof
Red-team your AI
Adversarial red-teaming of your AI system. We generate multi-turn attacks, then type and score what breaks — by dimension, with a coverage report and an occurrence rate over N runs.
What you get
Ideal for
Teams putting AI in front of customers or regulators.
Check
Verify your content
Regulatory verification of your content and documents, human- or AI-authored. We hold each one against the requirements of the regulation it must answer to, and ground every objection in a citable source.
What you get
Ideal for
Anyone who submits content to a regulator, court, or board.
A quantified risk posture across every AI system, defensible with the trace behind each score.
EU AI Act and GDPR requirements matched to technical and administrative evidence in a single view.
API-first, grounded adversarial testing on your own systems, with no latency impact in production.
Governance you can stand behind — evidence that your AI behaves, not assurances that it does.
Start with a Proof red-team of the AI you run, or a Check review of the content you stand behind. Either way, you leave with evidence you can defend.