Auditors are coming. We give you the paper trail.
ISO 42001 + SR 11-7 + EU AI Act evidence generation for banks, insurers, and regulated enterprises. Stop panicking. Start paper-trailing. $50K–150K/year.
Three frameworks. One deadline. 2026.
Compliance teams at banks, asset managers, and insurers are buying fast because their auditors are already asking for AI risk documentation they don't have.
ISO 42001
International standard for AI management systems. Adopted by enterprise procurement teams as table stakes — no certification, no contract.
- AI policy and governance
- Risk and impact assessment
- Data quality and lifecycle control
- Continuous monitoring and improvement
SR 11-7
Federal Reserve model risk management guidance. Every deployed model must have documented risk assessment and adversarial testing on file.
- Independent model validation
- Ongoing performance monitoring
- Documented limitations and assumptions
- Effective challenge and governance
EU AI Act
High-risk classification requires documented testing, bias monitoring, and decision logs. Penalties up to 7% of global revenue.
- Risk management system
- Data governance and traceability
- Human oversight and transparency
- Post-market monitoring
Most companies have already deployed LLMs. They don't need another governance platform — they need evidence. Documented adversarial testing, model risk assessments, drift monitoring, decision logs. SCBE-AETHERMOORE's 6-tier test pyramid (L1 through L6-adversarial) maps directly to ISO 42001 clauses. We package that test output as the audit evidence your compliance team needs to survive their next review.
Evidence, not slideware.
Four deliverables. Every one of them ends up in a binder on your auditor's desk.
Test evidence package
JSONL output of 91 red team prompts (0 false positives) run against your LLM, mapped line-by-line to ISO 42001 clauses, plus the 150/150 compliance test run across 13 frameworks.
- Full L1–L6 test pyramid output
- Clause-tagged pass/fail records
- Reproducible seeds and config manifests
- Hash-signed for chain of custody
Risk assessment report
Formatted for SR 11-7 review, signed and timestamped. The document your model risk committee presents upstream.
- Model inventory and classification
- Assumption and limitation register
- Adversarial finding summary
- Remediation recommendations
Drift monitoring setup
Ongoing adversarial probe suite wired to your endpoints. Quarterly re-tests with side-by-side drift reports.
- Scheduled adversarial probe runs
- Drift deltas vs. baseline capture
- Alerting hooks for significant regressions
- Quarterly monitoring digest
Audit response dossier
Everything your compliance team hands to auditors, pre-formatted. The "open the folder, hand it over" package.
- Executive summary and scope letter
- Clause-by-clause evidence index
- PDF and JSONL deliverables bundled
- Auditor FAQ and response templates
Three tiers. All include the paper trail.
Engagements start with an MNDA. Every tier delivers signed, timestamped evidence artifacts.
Initial Audit
Single pass. Full evidence package delivered in 2–3 weeks from kickoff.
- One-time test run against your LLM
- Full evidence package (Deliverables 01+02+04)
- Risk assessment report
- 30-day support window for auditor questions
Annual Program
Continuous compliance. Your quarterly drift monitoring and audit response partner.
- Initial audit included
- Quarterly re-tests and drift monitoring
- Audit response support through the year
- Policy updates as regulations evolve
Enterprise
Dedicated liaison. Custom tests. Direct-to-auditor support calls.
- Everything in Annual Program
- Custom test authoring to your threat model
- Dedicated compliance liaison
- Direct-to-auditor support calls
ISO 42001 clauses → SCBE test tiers.
Every clause your auditor asks about has a test tier behind it. No hand-waving, no interpretation gaps.
| ISO 42001 Clause | SCBE Test Coverage |
|---|---|
| Clause 8.2 — AI risk assessment | L3L4Functional and integration test suites |
| Clause 8.3 — AI impact assessment | L5End-to-end integration tests with impact scoring |
| Clause 8.4 — Data quality management | L2L3Input validation and schema enforcement tests |
| Clause 9.1 — Monitoring, measurement, analysis | L6Quarterly adversarial re-tests + drift reports |
| Clause 9.2 — Internal audit | L1L6Full pyramid replay with signed artifacts |
| Clause 10.1 — Continual improvement | L6Drift monitoring reports and remediation deltas |
| Clause A.6 — AI system lifecycle | L4L5Lifecycle integration and regression tests |
A credible moat, not a slide deck.
Our evidence is only as good as the system behind it. Here's what powers the paper trail.
SCBE-AETHERMOORE
A 14-layer governance pipeline that maps AI inputs into a 6-dimensional hyperbolic space, where adversarial perturbations get priced out by the curvature function H(d, R) = Rd². Patent pending (USPTO #63/961,403).
The core is open source. The red team benchmark runs 91 prompts that block at 91/91 with 0 false positives, plus 150 compliance tests across 13 frameworks, across six tiers from basic input validation up through full red-team adversarial simulation. Every run produces hash-signed, timestamped artifacts that drop directly into an evidence binder.
Questions compliance teams ask first.
Do you certify us?
No. We deliver the evidence your compliance team presents to auditors. Certification is a separate process handled by accredited certification bodies — we're the service that makes sure you walk in with a complete file, not an empty binder.
What LLMs do you test?
Any of them. OpenAI, Anthropic, Google, open-weights local models, custom fine-tunes, RAG stacks, agent frameworks. If it has an endpoint or a loadable checkpoint, we can run the pyramid against it.
How long does the initial audit take?
2–3 weeks from kickoff to delivered evidence package. Week 1 is scoping and test configuration. Week 2 runs the pyramid. Week 3 packages and signs the deliverables.
Can you work with our existing GRC platform?
Yes. We deliver JSONL and PDF artifacts that ingest cleanly into Vanta, Drata, OneTrust, ServiceNow GRC, and custom data lakes. We don't ask you to change tools — we feed the tools you already run.
Do you sign under NDA?
Yes. Every engagement starts with a mutual NDA (MNDA) before we see any model, endpoint, or internal documentation. Your red-team findings never leave the engagement.