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Who it's for:
- AI model providers
- Orchestrated service providers
- Infrastructure operators
- Application developers
- AI customers
AI Controls Matrix
Release Date: 07/09/2025
- AI Controls Matrix: A spreadsheet of 243 control objectives analyzed by five critical pillars, including Control Type, Control Applicability and Ownership, Architectural Relevance, LLM Lifecycle Relevance, and Threat Category.
- Mapping to the BSI AIC4 Catalog
- Mapping to NIST AI 600-1 (2024)
- Mapping to ISO 42001:2023
- Implementation Guidelines
- Auditing Guidelines
- Consensus Assessment Initiative Questionnaire for AI (AI-CAIQ): A set of questions that map to the AICM. These questions can guide organizations in performing a self-assessment or an evaluation of third-party vendors.
- Filling in the AI-CAIQ: Guidance on accurately completing the AI-CAIQ self-assessment, including ownership, evidence, and documentation rules.
- STAR for AI Level 1 Submission Guide: Step-by-step instructions for submitting an AI-CAIQ self-assessment to the STAR Registry.
- Cloud Controls Matrix (CCM): A cybersecurity control framework for cloud computing. Both providers and customers can use the CCM as a tool for the systematic assessment of a cloud implementation.
- AI Trustworthy Pledge: A pledge that organizations can sign to signal commitment to developing and supporting trustworthy AI.
- STAR for AI Program: A CSA initiative to deliver an upcoming certification for organizations to demonstrate AI trustworthiness.
- Trusted AI Safety Knowledge Certification Program: An upcoming training and certificate program by CSA and Northeastern University. It aims to help professionals manage AI risks, apply safety controls, and lead responsible AI adoption.
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Acknowledgements
Deepak Antiya
Principal, Oracle
Anirudh Murali
Principal Engineer
Michael Roza
Risk, Audit, Control and Compliance Professional at EVC
Michael Roza is a seasoned risk, audit, control and compliance, and cybersecurity professional with over 20 years of experience across multinational enterprises and startups. As a Cloud Security Alliance (CSA) Research member for over 10 years, he has led and contributed to more than 140 CSA projects spanning Zero Trust, AI, IoT, Top Threats, DecSecOps, Cloud Key Management, Cloud Control Matrix, and many others.
He has co-chaired...
Jan Gerst
Lead Cybersecurity Engineer SME, Charter
Alvin Chang
Founder & CEO, Good CISO
Visionary C-suite technology leader specializing in digital risk transformation for global organizations. Key highlights: • Secured 50+ regulated startups, FTSE100, and unicorns as vCISO and CTO. • Delivered talks at Cyber Security Symposium Africa; co-authored AI Control Matrix, shaping security standards. • Founder & CEO, Good CISO; vCISO at Lessonspace, driving robust, innovative frameworks. • Expert in C-suite co...
Ankit Sharma
Security Officer, Compute BU, Cisco Systems India Pvt Ltd
Marina Bregkou
Principal Research Analyst, Associate VP, CSA
Ken Huang
CEO & Chief AI Officer, DistributedApps.ai
Ken Huang is an acclaimed author of 8 books on AI and Web3. He is the Co-Chair of the AI Organizational Responsibility Working Group and AI Control Framework at the Cloud Security Alliance. Additionally, Huang serves as Chief AI Officer of DistributedApps.ai, which provides training and consulting services for Generative AI Security.
In addition, Huang contributed extensively to key initiatives in the space. He is a core contribut...
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