Generative AI Security: Theories and Practices (Future of Business and Finance) - Tapa dura

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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.

De la contraportada

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.