
Traze
Traze automates AI compliance, including the EU AI Act and ISO/IEC 42001. Traze centralizes evidence collection, monitors audits in real time, detects governance gaps, and ensures seamless integration.
Traze automates AI compliance, including the EU AI Act and ISO/IEC 42001. Traze centralizes evidence collection, monitors audits in real time, detects governance gaps, and ensures seamless integration.
Fairly AI provides an AI governance platform with next-gen testing and smart protection. Fairly AI uses an automated multi-agent framework and auto-correct capabilities to assess and monitor AI systems.
Fairnow provides an AI governance platform for global compliance and risk management, ensuring models are fair, compliant, and audit-ready. Fairnow empowers organizations to build, buy, and deploy AI with confidence.
Trail streamlines AI governance and EU AI Act compliance by identifying regulatory needs, integrating into workflows, and ensuring compliance for AI teams and governance specialists.
TrustArc simplifies privacy management with an integrated platform for compliance and intelligence, eliminating fragmented solutions with 20+ years of expertise.
OneTrust enables responsible data and AI use with automated governance, risk management, and policy enforcement, ensuring compliance, security, and seamless collaboration.
Vanta streamlines security and compliance with automated evidence collection, real-time risk monitoring, and AI-powered vendor management, helping businesses strengthen security and build trust.
Caralegal simplifies data compliance with an integrated platform for privacy, risk, audit, vendor oversight, and AI governance, automating tasks and enhancing collaboration.
Holistic AI enables enterprises to scale AI adoption securely and compliantly with proactive risk management, real-time insights, and continuous monitoring.
heyData automates compliance with GDPR, the EU AI Act, NIS2, and ISO 27001, combining smart GDPR management with expert legal guidance to streamline processes and minimize risks.
Summary of Article 1 * Regulatory Scope: Establishes rules for AI use, safety, and fundamental rights protection. * High-Risk & Transparency: Regulates
Summary of Article 2 * Entities Subject to the Regulation: Include AI providers, deployers, importers, distributors, and manufacturers placing AI systems
Summary of Article 3 * AI System and Risk Definition: AI systems is defined as machine-based systems that operate autonomously and
Providers and deployers of AI systems shall take measures to ensure, to their best extent, a sufficient level of AI
Summary of Article 5 • Prohibited AI practices: Include manipulative AI that distorts decision-making through subliminal or deceptive techniques. AI that
Summary of Article 6 * Criteria for High-Risk AI Systems: AI is high-risk if it is a safety component or needs
Summary of Article 7 * Expansion of High-Risk AI Categories: The Commission may add or modify AI categories if risks match
Summary of Article 8 • High-risk AI compliance: AI systems must meet AI Act requirements, considering intended purpose, technology advancements, and
Summary of Article 9 * Providers: Shall establish, document, and maintain a continuous risk management system throughout the AI lifecycle, addressing
Summary of Article 10 * Data Quality & Suitability: High-risk AI must use relevant, representative, and accurate datasets suited to their
Summary of Article 11 * Technical Documentation Requirements: High-risk AI systems shall have up-to-date technical documentation demonstrating compliance, with simplified forms
Summary of Article 12 * Event Logging for Risk & Compliance: High-risk AI systems must log events to identify risks, track
Summary of Article 13 * Transparency & Interpretability: High-risk AI systems must be transparent enough for deployers to interpret and use
Summary of Article 14 * Providers: Shall design AI systems with effective human oversight to prevent risks and implement necessary oversight
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