Generative AI Security: Theories and Practices (生成式人工智慧安全：理論與實踐)
Huang, Ken, Wang, Yang, Goertzel, Ben
相關主題
商品描述
This book explores the revolutionary intersection of Generative AI (GenAI) and cybersecurity. It presents a comprehensive guide that intertwines theories and practices, aiming to equip cybersecurity professionals, CISOs, AI researchers, developers, architects and college students with an understanding of GenAI's profound impacts on cybersecurity.
The scope of the book ranges from the foundations of GenAI, including underlying principles, advanced architectures, and cutting-edge research, to specific aspects of GenAI security such as data security, model security, application-level security, and the emerging fields of LLMOps and DevSecOps. It explores AI regulations around the globe, ethical considerations, the threat landscape, and privacy preservation. Further, it assesses the transformative potential of GenAI in reshaping the cybersecurity landscape, the ethical implications of using advanced models, and the innovative strategies required to secure GenAI applications. Lastly, the book presents an in-depth analysis of the security challenges and potential solutions specific to GenAI, and a forward-looking view of how it can redefine cybersecurity practices. By addressing these topics, it provides answers to questions on how to secure GenAI applications, as well as vital support with understanding and navigating the complex and ever-evolving regulatory environments, and how to build a resilient GenAI security program.
The book offers actionable insights and hands-on resources for anyone engaged in the rapidly evolving world of GenAI and cybersecurity.商品描述(中文翻譯)
本書探討了生成式人工智慧（GenAI）與資訊安全的革命性交集。它提供了一個綜合指南，將理論和實踐相結合，旨在為資訊安全專業人員、CISO、人工智慧研究人員、開發人員、架構師和大學生提供對GenAI對資訊安全的深遠影響有所了解。
本書的範圍從GenAI的基礎，包括基本原理、先進架構和尖端研究，到GenAI安全的具體方面，如數據安全、模型安全、應用層安全以及新興領域LLMOps和DevSecOps。它探討了全球範圍內的AI法規、倫理考慮、威脅形勢和隱私保護。此外，它評估了GenAI在重塑資訊安全領域方面的轉型潛力，使用先進模型的倫理影響以及確保GenAI應用程式安全所需的創新策略。最後，本書對GenAI特定的安全挑戰和潛在解決方案進行了深入分析，並展望了它如何重新定義資訊安全實踐。通過解答這些問題，它提供了如何保護GenAI應用程式的答案，以及在理解和應對複雜且不斷演變的法規環境以及如何建立強大的GenAI安全計劃方面的重要支持。
本書提供了可操作的見解和實用資源，適用於任何參與快速發展的GenAI和資訊安全領域的人士。
作者簡介
Ken Huang is the CEO of DistributedApps.ai, a company advancing Generative AI through training and consulting. He is also the VP of Research and Chair of the Blockchain Security Working Group for CSA GCR. Ken has authored multiple books on blockchain and Web3 and has over 20 years of experience specializing in application security, identity and access management, and cloud security for fintech and government agencies. Ken is an invited speaker at conferences hosted by organizations such as Davos WEF and CoinDesk Consensus. Ken coauthored the book "Blockchain and Web3" recognized as a must-read in 2023. Ken is a core contributor of OWASP Top 10 for Large Language Model Applications.
Yang Wang is Vice-President for Institutional Advancement of the Hong Kong University of Science and Technology, China. He is an internationally respected scholar with wide-ranging research interests, having published over 100 research journal papers in both pure and interdisciplinary mathematics. He received his Ph.D. degree from Harvard University, USA, and was a faculty member of the Georgia Institute of Technology, before becoming the Department Chair of Mathematics at Michigan State University, USA.
Ben Goertzel is a cognitive scientist, artificial intelligence researcher, CEO and Founder of SingularityNET, and former Chief Scientist of Hanson Robotics which created Sophia Robot. He is leader of the OpenCog Foundation, the AGI Society, as well as chair of Humanity+.
Yale Li is Deputy Chairman of the World Digital Technology Academy (WDTA) and Chairman of the Cloud Security Alliance (CSA) Greater China Region and its Security Coordinating Body. He is a Senior Fellow and Adjunct Professor at Xi'an Jiaotong University and a Visiting Professor at Nanjing University of Telecommunications and Posts, China. He is one of the earliest Certificate of Cloud Security Knowledge (CCSK) credential holders. Since late 2014, he has held the position of Chief Cybersecurity Expert (VP Level) at Huawei in China, where he has played a key role in providing technical leadership. He has also authored several books and many articles.
Sean Wright is SVP at Security Universal Music Group with 20+ years of Information and Physical Security program development, architecture and design, and hands-on technical experience with a track record of delivering risk based business aligned security solutions. He is acknowledged for exceptional performance in program development and implementation of multiple highly complex projects. He is an innovator in the security industry contributing to advancements in digital forensics, audio watermarking, DCinema Cert creation, firewall clustering, intrusion detection, V1.0 VISA CISP (PCI) and more recently AI security, trust and ethics framework development and enterprise AI readiness. Sean sits on several advisory boards helping companies achieve rapid growth and market acceptance as well as serving as a contributing advisorymember for several industry and collegiate organizations locally to internationally.
Jyoti Ponnapalli is SVP, Head of Innovation Strategy & Research at Truist Bank where she leads the Innovation Strategy and Research Portfolio within the Experience & Innovation Team. She has 18+ years of experience leading emerging technology and complex digital transformations for Fortune 500 companies across various industries including Finance, Telecom, Airline, Energy, and Food & Beverage. She has contributed to white papers, and peer-reviewed publications, and is an industry speaker at Global Blockchain Conferences.
作者簡介(中文翻譯)
Ken Huang是DistributedApps.ai的CEO，該公司通過培訓和咨詢推進生成式人工智能。他還是CSA GCR的VP of Research和Blockchain Security Working Group的主席。Ken在區塊鏈和Web3方面撰寫了多本書籍，並在金融科技和政府機構的應用安全、身份和訪問管理以及雲安全方面擁有超過20年的經驗。Ken是Davos WEF和CoinDesk Consensus等組織舉辦的會議的邀請演講嘉賓。他與他人合著的書籍《區塊鏈和Web3》被認為是2023年必讀的書籍。Ken是OWASP Top 10 for Large Language Model Applications的核心貢獻者。
Yang Wang是中國香港科技大學的機構發展副主席。他是一位國際知名的學者，研究興趣廣泛，發表了100多篇純數學和跨學科數學的研究論文。他在美國哈佛大學獲得博士學位，曾是喬治亞理工學院的教職成員，後來成為美國密歇根州立大學數學系主任。
Ben Goertzel是認知科學家、人工智能研究員、SingularityNET的CEO和創始人，以及Hanson Robotics創造Sophia機器人的前首席科學家。他是OpenCog Foundation和AGI Society的領導者，也是Humanity+的主席。
Yale Li是世界數字技術學院(WDTA)的副主席，也是Cloud Security Alliance (CSA) Greater China Region及其安全協調機構的主席。他是西安交通大學的高級研究員和兼職教授，也是中國南京郵電大學的客座教授。他是最早的雲安全知識證書（CCSK）持有者之一。自2014年底以來，他在華為擔任首席網絡安全專家（副總裁級），在提供技術領導力方面發揮了關鍵作用。他還撰寫了幾本書籍和許多文章。
Sean Wright是Security Universal Music Group的SVP，擁有20多年的信息和物理安全計劃開發、架構和設計以及實踐技術經驗，並以交付基於風險的與業務對齊的安全解決方案的記錄而聞名。他在安全行業中是一位創新者，為數字取證、音頻水印、DCinema Cert創建、防火牆集群、入侵檢測、V1.0 VISA CISP（PCI）以及最近的AI安全、信任和倫理框架發展和企業AI準備方面做出了貢獻。Sean是幾個諮詢委員會的成員，幫助公司實現快速增長和市場接受，並擔任幾個國際和國內行業和學術組織的諮詢成員。
Jyoti Ponnapalli是Truist Bank的SVP，領導體驗和創新團隊內的創新戰略和研究項目組合。她在金融、電信、航空、能源和食品飲料等各行業的財富500強公司領導新興技術和複雜數字轉型方面擁有18年以上的經驗。她為白皮書和同行審查的出版物做出了貢獻，並在全球區塊鏈會議上擔任行業演講嘉賓。
