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Working Group

AI Controls

This committee aligns with NIST Cybersecurity Framework to establish a robust, flexible, and multi-layered framework.
CSA Large Language Model (LLM) Threats Taxonomy
CSA Large Language Model (LLM) Threats Taxonomy

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The CSA AI Control Framework Working Group’s goal is to define a framework of control objectives to support organizations in their secure and responsible development, management, and use of AI technologies. The framework will assist in evaluating risks and defining controls related to Generative AI (GenAI). The control objectives will cover aspects related to cybersecurity. Additionally, it will cover aspects related to safety, privacy, transparency, accountability, and explainability as far as they relate to cybersecurity.

Working Group Leadership

Marina Bregkou
Marina Bregkou

Marina Bregkou

Senior Research Analyst, CSA EMEA

Daniele Catteddu
Daniele Catteddu

Daniele Catteddu

Chief Technology Officer, CSA

Daniele Catteddu is an information security and risk management practitioner, technologies expert and privacy evangelist with over 15 of experience. He worked in several senior roles both in the private and public sector. He is member of various national and international security expert groups and committees on cyber-security and privacy, keynote speaker at several conferences and author of numerous studies and papers on risk management, ...

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Working Group Co-Chairs

Marco Capotondi
Marco Capotondi

Marco Capotondi

Agency for National Cybersecurity, Italy

Marco Capotondi is an Engineer specialized in applied AI, with a focus on AI Security and AI applied to Autonomous Systems. Bachelor’s degree in Physics and Master’s degree in AI Engineering, he got a doctoral degree through a research around Bayesian Learning techniques applied to Autonomous Systems, on which he published many papers. His actual focus is helping the community to define and manage risks associated with Artificial Intelligen...

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Siah Burke Headshot Missing
Siah Burke

Siah Burke

Ken Huang
Ken Huang

Ken Huang

Chief AI Officer at 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 contributor t...

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Alessandro Greco Headshot Missing
Alessandro Greco

Alessandro Greco

Publications in ReviewOpen Until
Fully Homomorphic Encryption: A Comprehensive Guide for Cybersecurity ProfessionalsDec 06, 2024
AI Organizational Responsibilities: AI Tools and ApplicationsDec 08, 2024
Zero Trust Guidance for Small and Medium Size Businesses (SMBs)Dec 15, 2024
Zero Trust Privacy Assessment and GuidanceDec 27, 2024
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Who can join?

Anyone can join a working group, whether you have years of experience or want to just participate as a fly on the wall.

What is the time commitment?

The time commitment for this group varies depending on the project. You can spend a 15 minutes helping review a publication that's nearly finished or help author a publication from start to finish.

Open Peer Reviews

Peer reviews allow security professionals from around the world to provide feedback on CSA research before it is published.

Learn how to participate in a peer review here.

Fully Homomorphic Encryption: A Comprehensive Guide for Cybersecurity Professionals

Open Until: 12/06/2024

The document Fully Homomorphic Encryption: A Comprehensive Guide for Cybersecurity Professionals serves as an in-d...

AI Organizational Responsibilities: AI Tools and Applications

Open Until: 12/08/2024

The integration of LLMs and Generative AI introduces vital security considerations across development and deployment proces...

Zero Trust Guidance for Small and Medium Size Businesses (SMBs)

Open Until: 12/15/2024

In an increasingly digital world, small and medium-sized businesses (SMBs) are facing heightened security challenges, makin...

Zero Trust Privacy Assessment and Guidance

Open Until: 12/27/2024

The objective of this paper is to provide guidance for using zero trust in privacy implementation. This document highlights...