Trustworthy AI Toolkit — Red-team · Eval · Lineage · EU AI Act
Trustworthy AI cannot be a slide deck. The Toolkit ships continuous red-teaming, bias and toxicity evals, model lineage and signed releases — all wired into CI so a model that fails audit literally cannot reach production. Compliance becomes a build artefact.
What the lab is testing right now
Adversarial agents probe production endpoints daily across MITRE ATLAS coverage.
Statistical parity, equalised odds, calibration — measured on every model card revision.
Cryptographically signed chain from data → features → model → deploy → response.
Rego rules enforced at the model gateway: residency, consent, retention, exit-list filtering.
Everything the lab ships
- Eval harnessQuality, bias, toxicity, jailbreak and ATLAS suites running on every commit.
- Red-team agentsContinuous adversarial probes with severity scoring and auto-tickets to detection-as-code.
- Lineage planeSigned graph of every artefact in the model lifecycle, queryable for audit.
- Regulator dossierAuto-generated EU AI Act, NIST AI RMF and ISO 42001 evidence packs, updated continuously.
- Policy gatewayRego rules at the model gateway: residency, consent, retention, response filters.
- Responsible AI Principal
- Adversarial ML Lead
- Policy & Legal Engineer
- Lineage / MLOps Lead
package axp.gateway
default allow = false
allow {
input.tenant == "acme-emea"
input.region == "eu-west"
input.consent.has("model_training") == false # never train on PII
not contains(input.prompt, sensitive_terms[_])
input.eval_score >= 0.94
}
audit[a] {
a := {
"ts": time.now_ns(),
"model": input.model,
"tenant": input.tenant,
"score": input.eval_score,
"reason": "policy.allow",
}
}Weeks 1–6 · first regulator dossier signed off by week 4
- 1Weeks 1–2Baseline + lineage
Wire eval harness, lineage capture, model cards across the production fleet.
- 2Weeks 2–4Red-team + dossier
Continuous adversarial probes, severity scoring, first regulator dossier signed.
- 3Weeks 4–6CI gates live
Quality, bias and ATLAS gates fail-build on regressions; exec scorecard live.
Productionised by these squads
Receipts, not just thesis
- Continuous red-teaming reduces jailbreak success by 78% at iso-costUSENIX Security Workshop·2025
- From policy doc to Rego: making AI Act controls executableAXP Internal Whitepaper·2026
What partners actually ask
No — it's a continuous control plane. Every commit re-runs evals, red-team and lineage; the dossier auto-updates.
Yes — high-risk and limited-risk obligations are mapped, with Annex IV evidence pack auto-generated.
The opposite. Failing fast in CI is far cheaper than failing in front of a regulator.
Yes — the harness is plug-in. Bring HELM, Big-Bench Hard, internal golden sets or domain suites.
Co-build Trustworthy AI Toolkit with us in Weeks 1–6.
We'll respond within one business day with a scoping note, a fixed-price outcome contract, and a named principal cleared for your domain. Design partners get first-look access, joint publication rights and roadmap influence.
- • Outcome-priced — no T&M.
- • Sovereign by default — your data, your region, your keys.
- • Refund-backed if the contracted KPI isn't hit.
- • Joint publication rights and conference slots.