World Digital Technology Academy (WDTA) Large Language Model Security Requirements for Supply Chain World Digital Technology Academy Standard WDTA AI -STR -03 Edition: 2024 -09 2 © WDTA 2024 – All rights reserved. The World Digital Technology Standard WDTA AI -STR-03 is designated as a WDTA norm. This document is the property of the World Digital Technology Academy (WDTA) and is protected by international copyright laws. Any use of this document, including reproduction, modification, distribution, or re -publication, without the prior written permis sion of WDTA, is prohibited. WDTA is not liable for any errors or omissions in this document. Discover more WDTA standards and related publications at https://wdtacademy.org/ . Version History * Standard ID Version Date Changes WDTA AI -STR-03 1.0 2024 -09 Initial Release 3 Foreword As the digital age advances, the integration of artificial intelligence, particularly large language models (LLMs), has become a cornerstone of modern technological ecosystems. These models are now pivotal in shaping industries, driving innovation, and tra nsforming the way we interact with technology. However, with this rapid integration comes an array of security challenges that must be addressed to ensure these powerful tools' safe and responsible deployment. The World Digital Technology Academy (WDTA) has long been at the forefront of setting global standards for digital technology and innovation. Our commitment to fostering a secure and inclusive digital world is reflected in the rigorous development of standards that guide th e deployment and management of cutting -edge technologies. The AI STR (Security, Trust, Responsibility) series, to which this document belongs, is a collection of standards designed to ensure that AI technologies are innovative, secure, trustworthy, and eth ically managed. These standards provide comprehensive frameworks for addressing the complex challenges associated with AI deployment, focusing on critical aspects like safety, integrity, and responsible use. As the WDTA AI -STR-03 standard, the "Large Language Model Security Requirements for Supply Chain" outlines comprehensive measures for managing security risks across the supply chain of large language models. This standard covers the entire lifecycle of the se models, from development through deployment, ensuring that each phase is rigorously scrutinized for potential vulnerabilities. By adhering to these guidelines, organizations can effectively protect their AI -driven operations from emerging threats and co ntribute to a more secure digital ecosystem. We extend our gratitude to the experts and contributors who have worked diligently to develop this standard. Their expertise and commitment to excellence ensure that WDTA continues to be a leader in setting the benchmark for digital security. We encourage all stakeholders in the AI supply chain to adopt these guidelines, helping to build a future where technological advancement goes hand in hand with security and ethical responsibility. Executive Chairman of WDTA 4 Acknowledgments Co-Chair of WDTA AI STR Working Group Ken Huang (CSA GC R) Josiah Burke (Anthorphic) Lead Authors Jiashui Wang (Ant Group) Weiqiang Wang (Ant Group) Long Liu (Ant Group) Yuhao Jiang (Ant Group) Ken Huang (CSA GC R) Anyu Wang (CSA GC R) Zheng Song (Ant Group ) Jiawei Tang (Ant Group) Yin Wang (Ant Group) Zhihui Jiang (Ant Group) Liang Zheng (Ant Group ) Cong Zhu (Ant Group ) Qing Luo (Ant Group ) Shiwen Cui (Ant Group ) Miao Chen (Zhongguancun Laboratory) Tianyu Cui (Zhongguancun Laboratory) Reviewers Lars Ruddigkeit (Microsoft ) Anton Chuvakin (Google) Apostol Vassilev (NIST) Dongchen Ma (Tencent Cloud ) Chenfu Bao (Baidu )