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CSA Large Language Model (LLM) Threats Taxonomy
Release Date: 06/10/2024
Working Group: AI Safety Initiative
This document aims to align the industry by defining key terms related to Large Language Model (LLM) risks and threats. Establishing a common language reduces confusion, helps connect related concepts, and facilitates more precise dialogue across diverse groups. This common language will ultimately assist the advancement of Artificial Intelligence (AI) risk evaluation, AI control measures, and responsible AI governance. This taxonomy will also support additional research within the context of CSA’s AI Safety Initiative.
Key Takeaways:
- Define the assets that are essential for implementing and managing LLM/AI systems
- Define the phases of the LLM lifecycle
- Define potential LLM risks
- Define the impact categories of LLM risks
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Acknowledgements
Dennis Xu
VP Analyst @ Gartner
Dennis Xu
VP Analyst @ Gartner
Rakesh Sharma
Security Architect
Rakesh Sharma
Security Architect
Avishah Bar
Senior Security Architect at CyberArk
Avishah Bar
Senior Security Architect at CyberArk
Michael Roza
Risk, Audit, Control and Compliance Professional at EVC
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...
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