Modulos Named in the Inaugural Gartner® Magic Quadrant™ for AI Governance PlatformsRead the

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Platform Overview
Compliance

Multi-Framework Compliance
Without the Duplicate Work

One control satisfies EU AI Act, ISO 42001, and NIST AI RMF. Structured workflows, centralized evidence, and audit-ready exports.

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Challenges

Why Multi-Framework AI Compliance Is So Hard

Manual processes create bottlenecks that multiply with each new regulation.

Issue 01

Spreadsheet hell

Controls tracked in Excel. Evidence in folders. Mappings in someone's head. Nothing connects.

Issue 02

Duplicate work across frameworks

Same control documented three times for EU AI Act, ISO 42001, and NIST. Triple the effort.

Issue 03

Scrambling before audits

Weeks spent hunting for evidence, recreating documentation, and hoping nothing is missing.

Issue 04

Manual evidence and assessment

Chasing colleagues for screenshots, exports, and sign-offs, then manually evaluating every control. Every. Single. Time.

How Modulos solves it

Multi-framework compliance without the duplicate work

One control satisfies EU AI Act, ISO 42001, NIST AI RMF, and more. Structured execution, centralized evidence, audit-ready exports.

Multi-framework graph showing how one control satisfies requirements in EU AI Act, ISO 42001, and NIST AI RMF
MAP · 1 of 4

Write a control once, reuse it everywhere

Every control maps to requirements across EU AI Act, ISO 42001, NIST AI RMF, and more at the same time. Implement it once and it satisfies obligations everywhere it applies.

Multi-framework reuse · zero duplication
All hotspots
FRMCapability 01

Framework Library, pre-mapped

ISO/IEC 42001:2023, EU AI Act, NIST AI RMF, ISO 27001, GDPR, DORA, NIS2, OWASP LLM, OWASP Agentic. Pin a project to a specific framework version and adopt updates on your schedule. 47+ requirements and 156+ reusable controls ship in the box.

Frameworks8
EU AI ActISO 42001NIST AI RMFISO 27001GDPRDORANIS2OWASP LLM
Requirements6
Art. 9Art. 10Cl. 6.1.3A.7MEASURE-2.2MAP-3.5
Controls4
Risk AssessmentBias TestingHITL OverrideData Lineage
RUNCapability 02Live

Continuous Runtime Inspection

Checks run at scale and on a schedule against your connected systems. Test results become control evidence automatically. Compliance reflects production, not a frozen snapshot.

PROMDDLFAWSAZVJLMODC-101Runtime check passing
7 source types auto-link test results to controls
CTRLCapability 03

Control Assessment Agent

Point the agent at a control. Get a readiness score, gap analysis, and prioritized recommendations with citations. You review and approve.

78%READY
Control Assessment Agent
3 gaps flagged · 5 recommendations cited.
2–4 hrs → 5 min
MULCapability 04

14 Obligations Cleared by This Control

C-1011 controlEU AI Act×5ISO 42001×4NIST AI RMF×3ISO 27001×2

Coverage compounds as you adopt frameworks. Implement a control once and watch it satisfy every requirement that asks the same question.

PDFCapability 05 · regulator-ready, on demand

Audit-Ready Exports

audit-package-2026-Q1.pdf
├ control-status.csv
├ evidence-list (186 items)
├ approval-history.csv
└ framework-coverage.json
Generate a complete audit package on demand: control status, evidence inventory, approval history, framework coverage map. Locking timestamps and justifications travel with the export, so an external auditor reads the same chain you built.

Pre-Built Framework Mappings

The controls behind these frameworks are already mapped to each other and maintained as the rules change, so adding a second or third framework costs a fraction of the first.

UAE AI Ethics
UAE
The UAE's national AI Ethics guidelines for the ethical design and deployment of AI systems across the public and private sectors.
MAS FEAT
MAS
The Monetary Authority of Singapore's FEAT principles - Fairness, Ethics, Accountability and Transparency - for AI and data analytics in financial services.
NIS2
NIS2
The EU's cybersecurity directive requiring critical infrastructure operators to implement robust risk management and incident reporting measures
NIST AI RMF
NIST
The NIST AI Risk Management Framework offers a flexible and powerful guide to working with AI
EU AI Act
EU AI Act
The European Union's Artificial Intelligence Act applies product liability to AI systems available on the EU market.
ISO/IEC 42001
ISO 42001
Ensure global compliance with ISO/IEC 42001:2023, the AI Management System standard.
ISO/IEC 27001
ISO 27001
The ISO/IEC 27001 standard helps you implement robust information security, cybersecurity and privacy protection
ISO/IEC 27701
ISO 27701
ISO/IEC 27701:2025, the international standard for privacy information management systems, giving you an auditable way to demonstrate responsible handling of personal data.
Microsoft Supplier DPR
Microsoft
The Microsoft Supplier Data Protection Requirements (Version 10, September 2024) is a framework for Microsoft suppliers.
GDPR
GDPR
The General Data Protection Regulation of the European Union regulates how personal data can be stored and processed.
OWASP Top 10 LLM
OWASP Top 10 LLM
A security framework highlighting the most critical risks in large language model applications.
OWASP Top 10 Agentic AI
OWASP Top 10 Agentic AI
A security framework highlighting the most critical risks in agentic AI applications.
Saudi AI Risk Management
SDAIA
Saudi Arabia's national AI Risk Management Framework from SDAIA, guiding entities through identifying, assessing, treating, and monitoring AI risk.
DORA
DORA
The EU's Digital Operational Resilience Act ensuring financial entities can withstand, respond to, and recover from ICT-related disruptions.
Singapore MGF for Agentic AI
Singapore MGF
Singapore's IMDA Model AI Governance Framework for Agentic AI, setting out how to govern AI agents that plan and act autonomously across multiple steps.
UAE Consumer AI
CBUAE
The Central Bank of the UAE's guidance on the responsible adoption of AI and machine learning by licensed financial institutions.
UAE PDPL
PDPL
The UAE's federal Personal Data Protection Law, Federal Decree-Law No. 45 of 2021, governing how personal data is processed and transferred across the UAE.
FINMA AI Governance
FINMA
FINMA Guidance 08/2024 on governance and risk management in the use of artificial intelligence, applying existing supervisory expectations to AI at Swiss financial institutions.
EN 18286 Quality Management System for EU AI Act
EN 18286
The European standard specifying the quality management system for providers of high-risk AI systems under the EU AI Act.

Explore the Other Pillars

Discover more about the other pillars: Governance, Risk and AI Agents.

Pillar

Governance

Run AI governance like an operating system

Draft
12
Review
5
Active
47
Archived
8

Project dashboards, AI lifecycle tracking, ownership workflows, and complete audit trails.

Project & org dashboardsOwnership workflowsAI lifecycle stages
Pillar

Risk

Quantify AI risk, allocate budgets, track mitigation

Bias
€82K
Hallucination
€48K
Drift
€31K
Leakage
€22K

Organization-wide risk overview, taxonomy limits, and risk-to-control mapping.

Risk appetite limitsQuantification methodsExecutive reporting
Pillar

Agents

Human-in-the-loop AI agents for GRC work

+312 agent runs this week

Scout Assistant, evidence automation, control assessments — all with human oversight.

Scout AssistantEvidence triageControl assessments

See Multi-Framework Compliance in Action

Book a demo to watch one control satisfy the EU AI Act, ISO/IEC 42001, and NIST AI RMF at the same time, with the evidence attached exactly where an auditor expects it.

Request a Demo