EU AI Act
Work through the AI Act questions for a system: your role, risk, evidence and next actions.
Free worksheet · 6 questions · No account needed
79 tracked updates for EU AI ActChoose a framework. Read the guide to understand it, or use a worksheet to record evidence and next actions for your team.
Work through the AI Act questions for a system: your role, risk, evidence and next actions.
Free worksheet · 6 questions · No account needed
79 tracked updates for EU AI ActOrganize evidence, responsibilities and next actions for an AI management system review.
Free worksheet · 6 questions · No account needed
294 tracked updates for ISO/IEC 42001DORA establishes a comprehensive framework for digital operational resilience in the EU financial sector. It sets uniform requirements for the security of network and information systems supporting business processes of financial entities.
19 tracked updates for DORANIS2 is the EU's updated directive on cybersecurity, replacing the original NIS Directive. It significantly expands the scope of sectors and entities covered, strengthens security requirements, and introduces more stringent enforcement measures.
21 tracked updates for NIS2ISO 27001 is the international standard for information security management systems (ISMS). It provides a systematic approach to managing sensitive information through risk assessment, security controls, and continuous improvement.
154 tracked updates for ISO 27001The NIST AI Risk Management Framework provides a voluntary, flexible framework for managing risks associated with AI systems throughout their lifecycle. It is structured around four core functions: Govern, Map, Measure, and Manage.
408 tracked updates for NIST AI RMFSOC 2 + AI extends the traditional SOC 2 trust services criteria to address AI-specific risks. It covers security, availability, processing integrity, confidentiality, and privacy as they apply to AI systems, including model governance, bias monitoring, and AI transparency.
162 tracked updates for SOC 2 + AIFINMA provides regulatory guidance on the use of AI and machine learning in Swiss financial services. It covers model risk management, explainability, data governance, and supervisory expectations for banks and insurance companies using AI.
19 tracked updates for FINMA