EU AI Act high-risk system obligations apply from August 2, 2026 — conformity assessments and technical documentation should be underway now.
04 / Regulatory Readiness

AI Compliance, Made Operational

The EU AI Act and the NIST AI Risk Management Framework both require the same underlying thing: evidence. Evidence that your AI systems were tested, documented, and monitored — before and after deployment. Most SMBs have the AI. Almost none have the evidence.

01

Who This Affects

Any business deploying AI agents or automated decision-making — for operations, customer interactions, hiring, or lending — including companies outside the EU whose AI output is used by EU customers. Scope is broader than most teams assume.

02

What's Required

Technical documentation covering system design, training data provenance, testing & validation reports (including edge-case and adversarial stress testing), and human oversight mechanisms — maintained continuously, not as a one-time filing.

03

Where Acumetry Fits

Our guardrails enforce human-defined policy over what your agents can do, and our audit harness produces the adversarial-testing evidence regulators expect — mapped directly to NIST RMF subcategories and EU AI Act Annex IV requirements.

Frameworks at a Glance

Two Frameworks, One Underlying Practice

The EU AI Act is binding law for any business with EU exposure. The NIST AI RMF is voluntary in the US/Canada — but increasingly treated as the de facto baseline for "reasonable" AI governance. Both rely on the same testing and documentation work.

Binding · EU Market

EU AI Act (Regulation 2024/1689)

The world's first comprehensive AI law. High-risk AI systems face conformity assessments, CE marking, EU database registration, and ongoing monitoring. Applies to any provider or deployer whose AI output is used in the EU — regardless of where the company is based.

  • High-risk obligations apply from August 2, 2026
  • Penalties up to €35M or 7% of global revenue
  • Requires documented data governance & provenance
  • Requires edge-case & adversarial stress testing reports
  • Requires human oversight mechanisms
Voluntary · Best Practice

NIST AI Risk Management Framework

A voluntary US framework built around four functions — Govern, Map, Measure, Manage. "Measure" covers Testing, Evaluation, Verification & Validation (TEVV): bias testing, drift monitoring, adversarial testing, and output review.

  • No mandatory certification, but widely used for attestation
  • Aligns with ISO/IEC 42001 management system standard
  • Encourages continuous, evidence-based risk management
  • Strong fit for SMBs not yet EU-exposed
  • Often required by enterprise customers & insurers
From Guardrails to Evidence

Safety Testing That Doubles as Compliance Evidence

Every audit run produces a structured report — the same artifact that keeps your agents safe also demonstrates the testing and oversight regulators require.

I.

Adversarial Test Reports

Pass/fail results across destructive operations, data exfiltration, secret leakage, and runaway behavior — the edge-case and adversarial testing both frameworks expect.

II.

Runtime Policy & Logs

Your enforced policy plus a log of every allowed, warned, and blocked action — concrete evidence of the human oversight and control mechanisms regulators look for.

III.

Framework Mapping

Each report maps results to NIST RMF subcategories (Govern 1.1, Measure 2.x) and EU AI Act Annex IV technical documentation — built for your auditor, not just your engineers.

View Pricing
Stay Current

AI & Compliance News

Live headlines on AI regulation, governance frameworks, and enterprise AI — updated automatically.

Loading latest headlines…
Get Started

Not Sure Where You Stand?

Start with a short readiness review — we'll identify your AI Act exposure, map your gaps against NIST RMF, and recommend the right evidence kit or ongoing review cadence.

Request Compliance Readiness Review