EU AI Act Compliance Tools

AI Governance & Compliance (EY Global)

Enterprise AI governance and compliance framework aligned with EU AI Act requirements.

AI Trust Services (KPMG)

KPMG's trusted AI framework for governance, risk, and compliance.

Aporia

Monitor, test, and safeguard LLMs in production with observability and guardrails.

Atlan

Data lineage and governance for AI systems with policy enforcement.

Centraleyes

AI-powered risk register and policy management for EU AI Act compliance.

Certa

AI-driven third-party risk assessments and compliance management.

Collibra

Enterprise data and AI governance platform for compliance and risk management.

Credo AI

Map AI initiatives to regulatory frameworks with compliance scoring.

Dataiku EU AI Act Readiness

Platform helping organizations assess and manage EU AI Act compliance risks.

DataRobot

Real-time AI governance, monitoring and compliance platform for enterprises.

Drata

GRC automation for SOC 2, ISO 27001, and EU AI Act compliance.

Earthian AI

Enterprise risk management platform purpose-built for AI systems.

Ethyca

Privacy and AI governance platform with regulatory enforcement coverage.

Hyperproof

Compliance automation platform for AI governance and regulatory auditing.

IBM watsonx.governance

Unified AI governance platform for model lifecycle management and compliance tracking.

Lakera

LLM security and guardrails for enterprise AI deployment risk management.

LogicGate

No-code platform automating governance, risk, and compliance workflows across organizations.

Lumenova AI

Enterprise platform automating AI governance, risk assessment, and fairness monitoring.

MetricStream

Enterprise GRC platform with dedicated AI risk and compliance modules.

ModelOp

AI ethics platform for model monitoring, bias detection, and governance.

OneTrust AI Governance

AI governance platform for discovery, inventory, and compliance automation.

Proliance

AI governance platform helping organizations manage compliance and risk.

Robust Intelligence

AI security platform detecting adversarial vulnerabilities and model failures.

Sardine

AI risk management for fraud detection with governance oversight.

Secureframe

GRC automation platform with dedicated AI governance and compliance frameworks.

SmartSuite

GRC platform with CRI AI Risk Management Framework for financial institutions.

Sprinto

Compliance automation platform with AI governance and continuous regulatory oversight.

Teramind

Endpoint AI monitoring for insider threat detection and shadow AI governance.

Theta Lake

Monitor AI risks in enterprise collaboration platforms with compliance automation.

TrustArc

Privacy and AI governance compliance platform for EU AI Act readiness.

Usercentrics

Consent and AI governance platform built for GDPR and EU AI Act compliance.

ValidMind

AI validation platform for model governance, risk assessment, and compliance documentation.

Vanta EU AI Act

Multi-framework compliance platform spanning SOC 2, ISO 27001, GDPR, and EU AI Act.

ZenGRC

GRC platform automating AI compliance workflows and governance processes.

Azure AI Content Safety

Content moderation API detecting harmful AI outputs in real-time.

Arize AI

Monitor LLM and ML model performance, detect drift, and debug issues in production.

Evidently AI

ML monitoring and testing platform for model performance, bias, and data drift.

Langfuse Documentation

Open-source LLM observability platform for monitoring AI performance and managing evaluation datasets.

LangSmith

Trace, debug, and monitor LLM applications for transparency and risk control.

NannyML

Post-deployment ML monitoring for data drift, performance degradation, and model behavior.

Neuronpedia

Interpretability platform for understanding neural network behavior and safety.

Oso

Policy-as-code framework for defining and enforcing AI authorization rules.

Pangea

API-first security guardrails for AI applications and compliance.

Taskade: AI Audit PBC Request Checklist Template

Audit checklist template for AI governance and compliance documentation.

Weights & Biases

ML experiment tracking and model monitoring for governance and compliance.

WhyLabs

Monitor AI models in production for data drift, quality issues, and performance degradation.

8 Principles of Responsible ML

Framework for building responsible ML systems with governance principles.

`draft-marques-asqav-compliance-receipts`

IETF standard for cryptographic compliance receipts in AI systems.

A checklist for auditing AI systems

Structured checklist framework for systematic AI system auditing and compliance assessment.

A Living and Curated Collection of Explainable AI Methods

Curated reference collection of XAI methods for model transparency and interpretability.

ABOUT ML Reference Document

Framework for documenting ML system transparency, accountability, and governance requirements.

Advanced AI evaluations at AISI: May update

Advanced AI evaluation framework for systematic risk assessment and compliance testing.

Adversarial Model Analysis

Open-source toolkit for adversarial testing and model interpretability.

AESIA Official Guides (Spain)

Spanish official EU AI Act implementation guides and compliance resources.

AI Act Conformity Tool (European DIGITAL SME Alliance)

EU AI Act compliance checker for organizations mapping risk levels and obligations.

AI Alliance affiliated project

Framework for responsible prompt engineering and LLM governance.

AI Badness: An open catalog of generative AI badness

Open catalog documenting generative AI failure modes and risks.

AI FactSheets 360 (IBM)

Open-source toolkit for AI transparency, bias detection, and responsible model development.

AI Governance and Regulatory Archive

Archive and governance tool for AI regulatory compliance documentation.

AI Safety Camp

Community-driven AI safety education and governance resources.

AI Snake Oil

Exposes AI hype and provides practical guidance for responsible AI deployment.

AI Verify Foundation

Open-source AI governance testing toolkit for compliance and responsible AI

AI Vulnerability Database

Open database and tools for identifying and managing AI vulnerabilities and risks.

AIAAIC

AI incident tracking and governance resource hub for organizations.

AIMultiple

Research hub and vendor directory for AI governance and compliance decisions.

Algorithmic Impact Assessment tool

Government-backed framework for assessing algorithmic systems' impact and risks.

Atlas of AI Risks

Structured risk taxonomy and mapping for AI system governance.

Auditing Guidelines for Artificial Intelligence

Guidelines for auditing AI systems and governance controls.

BRAID programme

UK-based AI governance framework for responsible AI implementation and compliance.

C2PA: Coalition for Content Provenance and Authenticity

Content provenance and authenticity for AI-generated media governance.

CEN-CENELEC JTC 21

EU standards body developing AI governance and compliance frameworks.

Center for AI and Digital Policy Reports

Research reports on AI governance, policy, and regulatory compliance frameworks.

COMPAS Recidivism Risk Score Data and Analysis

Public dataset exposing bias in criminal risk assessment AI systems.

Data Use Policy

Framework for organizations to define and implement responsible data use policies.

Debugging Machine Learning Models

Debug ML models to understand failures and improve transparency.

Deon (DrivenData)

Checklist-driven framework for building ethical AI systems with governance.

Distill

Interactive visualizations for understanding and debugging machine learning models.

EU AI Act 90-Day Implementation Playbook (Secure Privacy)

90-day roadmap for EU AI Act compliance and implementation.

EU AI Act Expert Explainer (Ada Lovelace Institute)

Open-source guide demystifying EU AI Act requirements and compliance obligations.

EU AI Act Handbook (White & Case)

Legal guidance for EU AI Act compliance and organizational AI governance.

EU AI Act Q&A (CMS)

EU AI Act Q&A reference guide for compliance interpretation and implementation.

Extracting Training Data from ChatGPT

Research tool demonstrating training data extraction risks in LLMs.

FairLearn

Open-source toolkit for detecting and mitigating AI model bias and fairness issues.

Fairness and Machine Learning: Limitations and Opportunities

Free textbook and resource guide on fairness limitations in machine learning systems.

FATML Principles and Best Practices

Community-driven principles and practices for fair, transparent, accountable ML.

ForHumanity Body of Knowledge

Open knowledge base for AI governance, risk, and compliance frameworks.

Foundation Model Development Cheatsheet

Quick reference guide for foundation model developers on compliance and responsible practices.

Free FRIA Template (KLA Digital)

Runtime policy enforcement and compliance evidence capture for AI systems.

FRIA Guide (ECNL & Danish Institute)

Practical guide for conducting fundamental rights impact assessments on AI systems.

Getting a Window into your Black Box Model

Reason codes for NFL models: interpretability for black-box AI systems.

GPAI Guidelines Analysis (DLA Piper)

EU AI Act GPAI compliance guidance from DLA Piper legal experts.

Guide to FRIAs (Danish Institute for Human Rights)

Structured guidance for conducting fundamental rights impact assessments under EU AI Act.

Guidelines for AI in parliaments

AI governance framework for parliamentary institutions and legislators.

Have I Been Trained?

Check if your training data was used to train AI models without consent.

IML

Open-source ML interpretability library for understanding model decisions.

Implementing the European AI Act (Future of Life Institute)

Open-source guidance on EU AI Act requirements and implementation strategies.

Interpretable Machine Learning using Counterfactuals

Explainable AI through counterfactual examples for model transparency.

Interpreting Machine Learning Models with the iml Package

R package for interpreting and explaining machine learning model predictions.

Introduction to Responsible Machine Learning

Educational framework for building interpretable, fair, and accountable ML systems.

Llama 2 Responsible Use Guide

Meta's framework for responsible deployment and use of Llama 2 models.

MadryLab

Adversarial robustness research lab advancing AI security and trustworthiness.

MATS

AI safety research & governance framework for responsible AI development.

ML Safety Course

Educational resource for ML safety and responsible AI practices.

Montreal AI Ethics Institute

AI ethics research institute providing governance frameworks and compliance guidance.

OECD.AI Policy Observatory

OECD intelligence on AI policy, governance, and regulation implementation.

OWASP AI Testing Guide

Open-source testing methodology for AI security, bias, and compliance risks.

Partial Dependence Plots in R

R package for interpreting model predictions through partial dependence visualization.

production website

Document and analyze AI incidents for governance and risk mitigation.

RAI Toolkit

Open-source toolkit for responsible AI development and bias assessment.

Real Toxicity Prompts - Allen Institute for AI

Dataset for testing language models against toxic outputs and unsafe behavior.

Resemble.AI Deepfake Incident Database

Deepfake incident tracking database for AI risk monitoring and governance.

Responsible AI Institute

Open-source framework for building and auditing responsible AI systems.

ResponsibleAI

Open-source toolkit for responsible AI development and model explainability.

Sample AI Incident Response Checklist

Structured checklist for responding to and documenting AI incidents.

TensorFlow Extended (TFX)

Production ML pipeline framework with model governance and monitoring capabilities.

Tracing the thoughts of a large language model

Interpretability research enabling auditable LLM decision tracing.

Tracking international legislation relevant to AI at work

Track AI legislation globally to stay compliant across jurisdictions.

Trust-LLM-Benchmark Leaderboard

Benchmark suite evaluating LLM trustworthiness across safety, fairness, and robustness.

Understanding Responsibilities in AI Practices

Framework for defining AI accountability roles and organizational responsibilities.

University of British Columbia, Resources (Generative AI)

Open resource hub for responsible AI governance and compliance practices.

Verica Open Incident Database

Open database of AI incidents for learning from real-world failures.

Vocabulary of AI Risks

Structured vocabulary for identifying and categorizing AI risks in systems.

What-If Tool (Google)

Interactive tool for testing and understanding ML model behavior and fairness.

생성형 인공지능(AI) 개발·활용을 위한 개인정보 처리 안내서(안)

Korean guide for personal data handling in generative AI development and deployment

Aapti Institute

AI governance and responsible AI framework for organizations in emerging markets.

AccuKnox

AI risk management platform securing and governing AI systems in production.

AI Act Trained Professional / AIActTPro (Cyber Risk GmbH)

EU AI Act compliance training and certification for governance professionals.

AI Disclosure Kit

Toolkit for documenting and disclosing AI systems to meet regulatory requirements.

AI Ethics Lab

AI ethics framework and governance tools for responsible AI deployment.

AI Law Center (Orrick)

Legal guidance and governance resources for AI compliance and risk management.

AI Policy Exchange

Exchange AI policy knowledge and compliance strategies across organizations.

AI Risk Database

Centralized database for tracking and managing AI risks across organizations.

AI Safety Map

Visual landscape mapping tool for AI safety governance and compliance navigation.

AI Transparency Institute

Transparency and accountability tools for AI systems governance and compliance.

Aiceberg

AI workflow management platform with integrated governance controls.

AIM Security

AI security posture management and risk tracking for enterprises.

Airia

AI deployment platform with built-in governance and compliance controls.

Apollo Research

AI safety research platform for interpretability and risk assessment.

Asenion

End-to-end AI model governance and development lifecycle management platform.

AuditOne

EU AI Act compliance assessment and audit tool for organizations.

Bigeye

Data observability platform ensuring AI model reliability and data quality.

caralegal

Lawyer-led AI governance platform for DACH enterprises navigating EU AI Act.

ComplyACT AI

EU AI Act compliance management platform for organizations navigating regulatory requirements.

ComplyCloud

Automate AI risk assessment, asset mapping, and compliance documentation for EU AI Act.

Cranium

Security and compliance posture management for AI/ML environments.

Daiki

Centralized EU AI Act compliance, risk management, and monitoring platform

DataGuard

Automate EU AI Act compliance workflows with pre-built frameworks.

Difinity

AI governance platform helping enterprises compare and select compliant tools.

Dynamo AI

Privacy-first platform for secure AI development, deployment, and real-time monitoring.

Enactia

Automate EU AI Act compliance workflows and governance frameworks.

FairNow

Continuous fairness monitoring and bias remediation for high-stakes AI systems.

FAR AI

Formal verification for AI systems to prove safety properties and compliance.

Fiddler AI

Monitor model drift, detect bias, and explain ML/LLM decisions in production.

GEM

Benchmark suite for evaluating AI model risks and bias across governance frameworks.

Global AI Governance Tracker

Track and benchmark AI governance policies across global regulations.

Harmonic Security

Identifies and secures sensitive data exposure in GenAI applications.

HiddenLayer

Adversarial attack detection and ML model security for compliance-required risk management.

Holistic AI

AI governance platform auditing systems against regulatory frameworks

Keyed

AI governance platform built for German/DACH legal compliance.

Knostic

AI governance platform with bias detection and compliance dashboards.

Kobalt Labs

Automate AI compliance workflows for regulated industries.

Kovrr

Automated evidence collection and Article mapping for EU AI Act compliance.

Lasso Security

Runtime security and guardrails for LLM applications in production.

Maxim AI

AI evaluation and observability platform for governance in production.

METR

AI safety evaluations and autonomous agent testing for governance.

MineOS

Automate data privacy and compliance workflows for AI systems.

Model Transparency Ratings

Ratings system for AI model transparency and accountability across deployments.

Modulos

EU AI Act compliance toolkit: risk classification, governance workflows, readiness assessment.

Monitaur

Model monitoring with audit trails for regulated AI systems.

Optro

GRC platform automating AI audit, risk and compliance workflows.

OSD Bias Bounty

Crowdsourced bias detection for AI systems through structured bounty programs.

Prompt Security

Detects and prevents prompt injection attacks and data leakage in AI applications.

Redwood Research

AI safety research lab building tools for measuring and improving model alignment.

Relyance AI

Automated compliance management for data privacy and AI governance.

Rizkly

Automate EU AI Act compliance with pre-built controls library.

SolasAI

Detect algorithmic bias and ensure fairness compliance in AI decisions.

SynthID-Text

Watermark AI-generated text for transparency and provenance verification.

The Ethical AI Database

Centralized database for AI governance policies, risk frameworks, and compliance auditing.

trail-ml

EU AI Act compliance and full lifecycle AI governance platform

TrustWorks

Privacy and AI risk identification with automated mitigation workflows.

Truyo

Privacy-first AI governance with integrated risk assessment for compliance.

VerifyWise

AI governance platform enabling safe, compliant business AI deployment

WitnessAI

Control shadow AI, runtime governance, and agentic systems across your organization.