Attestor
AI Assurance
Services

Independent AI assurance, end to end.

From pre-deployment validation to continuous oversight and examiner-ready evidence — one standard across generative and agentic AI, delivered by an independent firm founded by the KDOA team.

01

Independent AI Validation

The independent second-line opinion, before your AI goes live.

A rigorous, independent validation of each AI system — generative or agentic — before it makes or influences a decision. Conceptual soundness plus empirical testing, delivered by a firm that didn’t build your system.

  • Genuine independence — a second-line opinion, not a self-assessment by the team that shipped the model.
  • Full coverage — from credit, fraud, and ML models to LLMs, RAG systems, and autonomous agents.
  • Deep testing — intent and spec conformance, tool-use safety, guardrail and red-team probing, bias testing, explainability.
  • Fair-lending-grade bias analysis — KDOA’s peer-reviewed, externally benchmarked methodology applied to AI decisioning.
  • Examiner-ready — a formal validation opinion and evidence package aligned to SR 26-2, OCC guidance, and the NIST AI RMF.
02

Continuous Assurance

Validation at go-live isn’t enough for systems that drift and act.

Ongoing, independent oversight of your AI in production — because an agent’s behavior shifts over time, and because it can act.

  • Monitoring against defined tolerances — drift, hallucination and error rates, tool-call violations, guardrail trips.
  • Professional oversight, not just a dashboard — we review exceptions, test controls, and render judgment on what the telemetry means.
  • Incident capture and escalation, with examiner-ready reporting on a defined cadence.
  • Trigger-based reassessment whenever a model, prompt, tool, or permission materially changes.
  • A living inventory — automated risk tiering and audit trails keep the estate examination-ready.
03

Risk Rating & Methodology

A defined standard, not an opinion that varies by reviewer.

The Attestor standard for rating AI risk — transparent, reproducible, and examiner-defensible. The intellectual core of the practice.

  • Component-based scoring — each agent decomposed into its parts and scored on a structured model, not a gut feel.
  • Automated risk tiering that drives validation frequency and board reporting, so oversight is proportionate to risk.
  • Transparent and traceable — every score reproducible and tied to specific components.
  • One standard across the spectrum — generative and agentic on the same scale.
  • Rational, right-sized frameworks aligned to SR 26-2 and the NIST AI RMF.
04

Regulatory Alignment

Evidence and frameworks that stand up to supervisory review.

Everything an institution needs to demonstrate AI governance to its board and its regulator — mapped to the frameworks examiners actually use.

  • Examiner-ready evidence packages with an explicit SR 26-2 and NIST AI RMF crosswalk.
  • Fair lending and bias testing built on KDOA’s peer-reviewed, externally benchmarked methodology.
  • Governance frameworks scaled to your institution — community bank to enterprise.
  • Global regulatory fluency — experience from the Fed to the EBA across four continents.
  • Credentials that carry weight — SOC 2 Type II and NMSDC Certified MBE.
05

The Attestor Platform

The software that runs the standard, end to end.

Attestor operationalizes the standard so validation, monitoring, and evidence live in one place — designed by model risk managers, for model risk managers.

  • AI registry with automated risk tiering — every system inventoried as a governed entity.
  • Validation workflow, continuous monitoring, and examiner-ready evidence generation, integrated rather than stitched together.
  • Configurable to the standard — retune the methodology without re-engineering the platform.
  • Sits above your stack — ingests telemetry from the observability tools you already run and renders the independent opinion on top.
  • Secure by design — cloud, with a sealed on-prem / VPC option for sensitive and defense deployments.

Not sure where to start?

A short scoping conversation lets us confirm which of your AI systems need what — and recommend a path, including a focused pilot.

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