Ken Huang – författare

Web3 is a new frontier of internet architecture emphasizing decentralization and user control. This text for MBA students and industry professionals explores key Web3 concepts, starting from foundational principles and moving to advanced topics like blockchain, smart contracts, tokenomics, and DeFi. The book takes a clear, practical approach to demystify the tech behind NFTs and DAOs as well as the complex regulatory landscape. It confronts challenges of blockchain scalability, a barrier to mainstream adoption of this transformative technology, and examines smart contracts and the growing ecosystem leveraging their potential. The book also explains the nuances of tokenomics, a vital element underpinning Web3's new economic model. This book is ideal for readers seeking to stay on top of emerging trends in the digital economy.

An in-depth and authoritative treatment of one of the most pressing topics of our time In Blockchain and Web3: Building the Cryptocurrency, Privacy, and Security Foundations of the Metaverse, two tech and finance experts deliver a comprehensive and accessible guide to the present and future of blockchain technology and how it will form the foundation of a new, better internet. To support a concept as bold as the Metaverse, we need several orders of magnitude more powerful computing capability, accessible at much lower latencies, across a multitude of devices and screens. You’ll discover how blockchain can accelerate data flow, exchange, and transactions to create and transfer value around the world and, at the same time, how it can be used to protect user data privacy and security with decentralized web infrastructures. The book also includes: Discussions of how sovereign governments are entering the blockchain fray and how their entry, especially with CBDC digital currency, shapes the conversations around Web3Explorations of whether we will ever realize the holy grail of blockchain tech: interoperability to compete with Big Tech platformsDiscussion of new security and privacy issues rising from the intersection of Blockchain, Web3 and Metaverse.A fascinating and eye-opening treatment of the past, present, and future of blockchain and the role it will play on the internet and metaverse, Blockchain and Web3 is a truly original and engaging discussion of a timely and critical topic.

Unlock the secrets to safeguarding AI by exploring the top risks, essential frameworks, and cutting-edge strategies—featuring the OWASP Top 10 for LLM Applications and Generative AIDRM-free PDF version + access to Packt's next-gen Reader*Key FeaturesUnderstand adversarial AI attacks to strengthen your AI security posture effectivelyLeverage insights from LLM security experts to navigate emerging threats and challengesImplement secure-by-design strategies and MLSecOps practices for robust AI system protectionPurchase of the print or Kindle book includes a free PDF eBookBook DescriptionAdversarial AI attacks present a unique set of security challenges, exploiting the very foundation of how AI learns. This book explores these threats in depth, equipping cybersecurity professionals with the tools needed to secure generative AI and LLM applications. Rather than skimming the surface of emerging risks, it focuses on practical strategies, industry standards, and recent research to build a robust defense framework.Structured around actionable insights, the chapters introduce a secure-by-design methodology, integrating threat modeling and MLSecOps practices to fortify AI systems. You’ll discover how to leverage established taxonomies from OWASP, NIST, and MITRE to identify and mitigate vulnerabilities. Through real-world examples, the book highlights best practices for incorporating security controls into AI development life cycles, covering key areas such as CI/CD, MLOps, and open-access LLMs.Built on the expertise of its co-authors—pioneers in the OWASP Top 10 for LLM applications—this guide also addresses the ethical implications of AI security, contributing to the broader conversation on trustworthy AI. By the end of this book, you’ll be able to develop, deploy, and secure AI technologies with confidence and clarity.*Email sign-up and proof of purchase requiredWhat you will learnUnderstand unique security risks posed by LLMsIdentify vulnerabilities and attack vectors using threat modelingDetect and respond to security incidents in operational LLM deploymentsNavigate the complex legal and ethical landscape of LLM securityDevelop strategies for ongoing governance and continuous improvementMitigate risks across the LLM life cycle, from data curation to operationsDesign secure LLM architectures with isolation and access controlsWho this book is forThis book is essential for cybersecurity professionals, AI practitioners, and leaders responsible for developing and securing AI systems powered by large language models. Ideal for CISOs, security architects, ML engineers, data scientists, and DevOps professionals, it provides insights on securing AI applications. Managers and executives overseeing AI initiatives will also benefit from understanding the risks and best practices outlined in this guide to ensure the integrity of their AI projects. A basic understanding of security concepts and AI fundamentals is assumed.

Explore reusable design patterns, including data-centric approaches, model development, model fine-tuning, and RAG for LLM application development and advanced prompting techniquesFree with your book: PDF Copy, AI Assistant, and Next-Gen ReaderKey FeaturesLearn comprehensive LLM development, including data prep, training pipelines, and optimizationExplore advanced prompting techniques, such as chain-of-thought, tree-of-thought, RAG, and AI agentsImplement evaluation metrics, interpretability, and bias detection for fair, reliable modelsBook DescriptionThis practical guide for AI professionals enables you to build on the power of design patterns to develop robust, scalable, and efficient large language models (LLMs). Written by a global AI expert and popular author driving standards and innovation in Generative AI, security, and strategy, this book covers the end-to-end lifecycle of LLM development and introduces reusable architectural and engineering solutions to common challenges in data handling, model training, evaluation, and deployment.You’ll learn to clean, augment, and annotate large-scale datasets, architect modular training pipelines, and optimize models using hyperparameter tuning, pruning, and quantization. The chapters help you explore regularization, checkpointing, fine-tuning, and advanced prompting methods, such as reason-and-act, as well as implement reflection, multi-step reasoning, and tool use for intelligent task completion. The book also highlights Retrieval-Augmented Generation (RAG), graph-based retrieval, interpretability, fairness, and RLHF, culminating in the creation of agentic LLM systems.By the end of this book, you’ll be equipped with the knowledge and tools to build next-generation LLMs that are adaptable, efficient, safe, and aligned with human values.What you will learnImplement efficient data prep techniques, including cleaning and augmentationDesign scalable training pipelines with tuning, regularization, and checkpointingOptimize LLMs via pruning, quantization, and fine-tuningEvaluate models with metrics, cross-validation, and interpretabilityUnderstand fairness and detect bias in outputsDevelop RLHF strategies to build secure, agentic AI systemsWho this book is forThis book is essential for AI engineers, architects, data scientists, and software engineers responsible for developing and deploying AI systems powered by large language models. A basic understanding of machine learning concepts and experience in Python programming is a must.

With the recent debacle of cryptocurrency exchange FTX and the crypto trading company Alameda Research, the importance of comprehending the security and regulations of Web3, cryptocurrency, and blockchain projects has been magnified. To avoid similar economic and security failures in future Web3 projects, the book provides an essential guide that offers a comprehensive and systematic approach to addressing security concerns. Written by experts in tech and finance, it provides an objective, professional, and in-depth analysis of security and privacy issues associated with Web3 and blockchain projects.This book highlights the security related to foundational Web3 building blocks such as blockchain, crypto wallets, smart contracts, and token economics, and describes recommended security processes and procedures for Web3 application development such as DevSecOps, data analytics, and data authenticity via the oracle. Moreover, the book discusses the legal and regulatory aspects of Web3 and the reasons behind the failures of well-known Web3 projects. It also contains detailed case studies of web3 projects, analyses of the reasons for their failures, and some pending legal cases.This book is an excellent resource for a diverse range of readers, with particular appeal to web3 developers, architects, project owners, and cybersecurity professionals seeking to deepen their knowledge of Web3 security.

With the recent debacle of cryptocurrency exchange FTX and the crypto trading company Alameda Research, the importance of comprehending the security and regulations of Web3, cryptocurrency, and blockchain projects has been magnified. To avoid similar economic and security failures in future Web3 projects, the book provides an essential guide that offers a comprehensive and systematic approach to addressing security concerns. Written by experts in tech and finance, it provides an objective, professional, and in-depth analysis of security and privacy issues associated with Web3 and blockchain projects.This book highlights the security related to foundational Web3 building blocks such as blockchain, crypto wallets, smart contracts, and token economics, and describes recommended security processes and procedures for Web3 application development such as DevSecOps, data analytics, and data authenticity via the oracle. Moreover, the book discusses the legal and regulatory aspects of Web3 and the reasons behind the failures of well-known Web3 projects. It also contains detailed case studies of web3 projects, analyses of the reasons for their failures, and some pending legal cases.This book is an excellent resource for a diverse range of readers, with particular appeal to web3 developers, architects, project owners, and cybersecurity professionals seeking to deepen their knowledge of Web3 security.

This book explores the transformative potential of ChatGPT, Web3, and their impact on productivity and various industries. It delves into Generative AI (GenAI) and its representative platform ChatGPT, their synergy with Web3, and how they can revolutionize business operations. It covers the potential impact surpassing prior industrial revolutions.After providing an overview of GenAI, ChatGPT, and Web3, it investigates business applications in various industries and areas, such as product management, finance, real estate, gaming, and government, highlighting value creation and operational revolution through their integration. It also explores their impact on content generation, customer service, personalization, and data analysis and examines how the technologies can enhance content quality, customer experiences, sales, revenue, and resource efficiency. Moreover, it addresses security, privacy, and ethics concerns, emphasizing the responsible implementation of ChatGPT and Web3. Written by experts in this field, this book is aimed at business leaders, entrepreneurs, students, investors, and professionals who are seeking insights into ChatGPT, ChatGPT Plug-in, GPT-based autonomous agents, and the integration of Gen AI and Web3 in business applications.

This book explores the transformative potential of ChatGPT, Web3, and their impact on productivity and various industries. It delves into Generative AI (GenAI) and its representative platform ChatGPT, their synergy with Web3, and how they can revolutionize business operations. It covers the potential impact surpassing prior industrial revolutions.After providing an overview of GenAI, ChatGPT, and Web3, it investigates business applications in various industries and areas, such as product management, finance, real estate, gaming, and government, highlighting value creation and operational revolution through their integration. It also explores their impact on content generation, customer service, personalization, and data analysis and examines how the technologies can enhance content quality, customer experiences, sales, revenue, and resource efficiency. Moreover, it addresses security, privacy, and ethics concerns, emphasizing the responsible implementation of ChatGPT and Web3. Written by experts in this field, this book is aimed at business leaders, entrepreneurs, students, investors, and professionals who are seeking insights into ChatGPT, ChatGPT Plug-in, GPT-based autonomous agents, and the integration of Gen AI and Web3 in business applications.

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.

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.

With the recent debacle surrounding the cryptocurrency exchange FTX and the crypto trading company Alameda Research, the importance of grasping the security and regulation of Web3, cryptocurrency, and blockchain projects has been magnified.

With the recent debacle surrounding the cryptocurrency exchange FTX and the crypto trading company Alameda Research, the importance of grasping the security and regulation of Web3, cryptocurrency, and blockchain projects has been magnified. To avoid similar economic and security failures in future Web3 projects, this book provides an essential guide and a comprehensive and systematic approach to addressing security concerns. Written by experts in tech and finance, it provides an objective, professional, and in-depth analysis of security and privacy issues associated with Web3 and blockchain projects. The book primarily focuses on Web3 applications and ecosystem components such as the stablecoin, decentralization exchange (DEX), decentralized finance (DeFi), non-fungible token (NFT), decentralized autonomous organization (DAO), and crypto exchange. It also discusses various security issues and their manifestation in Web3 such as ransomware, supply chain software attacks, AI security, and quantum security. Moreover, it provides valuable countermeasures and best practices for individual users as well as Web3 application development teams to consider when designing and implementing Web3 applications. This book is an excellent resource for a diverse range of readers and will particularly appeal to Web3 developers, architects, project owners, and cybersecurity professionals seeking to deepen their knowledge of Web3 security.

mso-fareast-language: EN-IN;">Bridging theoretical foundations and practical applications, the book offers valuable insights for data scientists, IT managers, CIOs, CAIOs, CTOs, business analysts, and graduate students seeking to understand and apply AI’s transformative potential across various industries.