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
Working Group Leadership
Marina Bregkou
Senior Research Analyst, CSA EMEA
Sean Heide
Technical Research Director, CSA
Working Group Co-Chairs
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...
Siah Burke
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...
Alessandro Greco
| Publications in Review | Open Until |
|---|---|
| DLT Cybersecurity Maturity Core Framework v1.0 | Sep 16, 2024 |
| Map the Transaction Flows for Zero Trust | Sep 16, 2024 |
| Key Management for Public Cloud Migration | Oct 07, 2024 |
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.