Generative Ai For Cybersecurity And Privacy
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Generative Ai For Cybersecurity And Privacy
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Author : Youssef Baddi
language : en
Publisher: CRC Press
Release Date : 2025-11-25
Generative Ai For Cybersecurity And Privacy written by Youssef Baddi and has been published by CRC Press this book supported file pdf, txt, epub, kindle and other format this book has been release on 2025-11-25 with Computers categories.
Generative AI for Cybersecurity and Privacy offers a groundbreaking exploration of how generative artificial intelligence is reshaping the landscape of cybersecurity and privacy protection in an era of rapid digital transformation. As cyber threats grow in sophistication and scale, this book provides a timely and authoritative guide to harnessing generative AI to safeguard digital ecosystems, secure sensitive data, and address emerging challenges across diverse domains. Spanning a series of expertly curated chapters, this volume delves into cutting-edge advancements and practical applications of generative AI in cybersecurity. It covers critical areas such as AI-driven threat detection and response, privacy-preserving AI models, secure IoT and cloud computing frameworks, and robust defenses for cyber-physical systems, including Smart Cities and wireless networks. The book balances rigorous theoretical foundations with real-world case studies, making it an essential resource for researchers, security professionals, policymakers, and organizational leaders. The book offers comprehensive coverage of key topics, including: • Leveraging generative AI for proactive threat detection, risk analysis, and automated incident response • Innovative approaches to data privacy, compliance, and governance in AI-driven systems • Advanced methodologies for securing IoT, mobile applications, and cloud infrastructures • Practical frameworks for integrating generative AI into cybersecurity strategies for critical infrastructures • Emerging applications of generative AI in personalized, secure digital experiences, such as e-commerce and smart systems Authored by a global team of leading researchers and practitioners, this book stands out by not only addressing current cybersecurity and privacy challenges but also proposing forward-thinking, scalable solutions powered by generative AI. Unlike traditional resources, it emphasizes the transformative potential of AI in revolutionizing risk analysis, threat mitigation, and privacy preservation across multiple domains. Whether you’re navigating the complexities of IoT, cloud security, or emerging cyber threats, Generative AI for Cybersecurity and Privacy equips you with the knowledge and tools to build intelligent, secure, and future-ready strategies for a dynamic digital world.
Generative Ai For Cybersecurity And Privacy
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Author : Youssef Baddi
language : en
Publisher:
Release Date : 2025
Generative Ai For Cybersecurity And Privacy written by Youssef Baddi and has been published by this book supported file pdf, txt, epub, kindle and other format this book has been release on 2025 with Computer networks categories.
"Generative AI for Cybersecurity and Privacy offers a groundbreaking exploration of how generative artificial intelligence is reshaping the landscape of cybersecurity and privacy protection in an era of rapid digital transformation. As cyber threats grow in sophistication and scale, this book provides a timely and authoritative guide to harnessing generative AI to safeguard digital ecosystems, secure sensitive data, and address emerging challenges across diverse domains. Spanning a series of expertly curated chapters, this volume delves into cutting-edge advancements and practical applications of generative AI in cybersecurity. It covers critical areas such as AI-driven threat detection and response, privacy-preserving AI models, secure IoT and cloud computing frameworks, and robust defenses for cyber-physical systems, including Smart Cities and wireless networks. The book balances rigorous theoretical foundations with real-world case studies, making it an essential resource for researchers, security professionals, policymakers, and organizational leaders"-- Provided by publisher.
Cybersecurity And Privacy In Generative Ai
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Author : Farhana Sethi
language : en
Publisher: Independently Published
Release Date : 2025-03-13
Cybersecurity And Privacy In Generative Ai written by Farhana Sethi and has been published by Independently Published this book supported file pdf, txt, epub, kindle and other format this book has been release on 2025-03-13 with Computers categories.
In an era dominated by the rapid rise of generative AI, Cybersecurity and Privacy in Generative AI: Protecting Data and Privacy in a Generative World delves deep into the transformative power and challenges of this groundbreaking technology. From the immense creative possibilities to the looming threats of deepfakes, AI-driven cyberattacks, and data exploitation, this book provides a comprehensive exploration of how generative AI shapes our digital landscape. Combining technical insights, ethical considerations, real-world case studies, and actionable strategies, it equips readers-from cybersecurity professionals to everyday users-with the tools to navigate a generative world safely. As we embrace the promises of innovation, this book underscores the critical importance of safeguarding privacy, data, and trust in an age where AI mirrors both our potential and vulnerabilities.
Ai Techniques For Securing Medical And Business Practices
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Author : Jhanjhi, Noor Zaman
language : en
Publisher: IGI Global
Release Date : 2024-09-27
Ai Techniques For Securing Medical And Business Practices written by Jhanjhi, Noor Zaman and has been published by IGI Global this book supported file pdf, txt, epub, kindle and other format this book has been release on 2024-09-27 with Computers categories.
In the past several years, artificial intelligence (AI) has upended and transformed the private and public sectors. AI techniques have shown significant promise in securing sensitive data and ensuring compliance with regulatory standards. In medical practices, AI can enhance patient confidentiality through advanced encryption methods. Similarly, in business environments, AI-driven security protocols can protect against cyber threats and unauthorized access, safeguarding both intellectual property and customer information. By leveraging AI for these purposes, organizations can not only enhance their operational efficiency but also build trust and credibility with their stakeholders. AI Techniques for Securing Medical and Business Practices provides real-world case studies and cutting-edge research to demonstrate how AI is enhancing threat detection and risk management in cybersecurity. Beyond cybersecurity, this book explores the broader applications of AI in fields such as healthcare, finance, and creative industries. It examines innovations in medical imaging, financial modeling, and content creation, while addressing critical ethical issues like data privacy and algorithmic bias. Aimed at researchers, postgraduate scholars, industry professionals, and the general public, it provides a thorough understanding of AI's transformative potential and its implications for various sectors.
Generative Ai Cybersecurity And Ethics
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Author : Mohammad Rubyet Islam
language : en
Publisher: John Wiley & Sons
Release Date : 2024-11-25
Generative Ai Cybersecurity And Ethics written by Mohammad Rubyet Islam and has been published by John Wiley & Sons this book supported file pdf, txt, epub, kindle and other format this book has been release on 2024-11-25 with Computers categories.
“Generative AI, Cybersecurity, and Ethics’ is an essential guide for students, providing clear explanations and practical insights into the integration of generative AI in cybersecurity. This book is a valuable resource for anyone looking to build a strong foundation in these interconnected fields.” —Dr. Peter Sandborn, Professor, Department of Mechanical Engineering, University of Maryland, College Park “Unchecked cyber-warfare made exponentially more disruptive by Generative AI is nightmare fuel for this and future generations. Dr. Islam plumbs the depth of Generative AI and ethics through the lens of a technology practitioner and recognized AI academician, energized by the moral conscience of an ethical man and a caring humanitarian. This book is a timely primer and required reading for all those concerned about accountability and establishing guardrails for the rapidly developing field of AI.” —David Pere, (Retired Colonel, United States Marine Corps) CEO & President, Blue Force Cyber Inc. Equips readers with the skills and insights necessary to succeed in the rapidly evolving landscape of Generative AI and cyber threats Generative AI (GenAI) is driving unprecedented advances in threat detection, risk analysis, and response strategies. However, GenAI technologies such as ChatGPT and advanced deepfake creation also pose unique challenges. As GenAI continues to evolve, governments and private organizations around the world need to implement ethical and regulatory policies tailored to AI and cybersecurity. Generative AI, Cybersecurity, and Ethics provides concise yet thorough insights into the dual role artificial intelligence plays in both enabling and safeguarding against cyber threats. Presented in an engaging and approachable style, this timely book explores critical aspects of the intersection of AI and cybersecurity while emphasizing responsible development and application. Reader-friendly chapters explain the principles, advancements, and challenges of specific domains within AI, such as machine learning (ML), deep learning (DL), generative AI, data privacy and protection, the need for ethical and responsible human oversight in AI systems, and more. Incorporating numerous real-world examples and case studies that connect theoretical concepts with practical applications, Generative AI, Cybersecurity, and Ethics: Explains the various types of cybersecurity and describes how GenAI concepts are implemented to safeguard data and systems Highlights the ethical challenges encountered in cybersecurity and the importance of human intervention and judgment in GenAI Describes key aspects of human-centric AI design, including purpose limitation, impact assessment, societal and cultural sensitivity, and interdisciplinary research Covers the financial, legal, and regulatory implications of maintaining robust security measures Discusses the future trajectory of GenAI and emerging challenges such as data privacy, consent, and accountability Blending theoretical explanations, practical illustrations, and industry perspectives, Generative AI, Cybersecurity, and Ethics is a must-read guide for professionals and policymakers, advanced undergraduate and graduate students, and AI enthusiasts interested in the subject.
Ai Driven Cybersecurity And Threat Intelligence
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Author : Iqbal H. Sarker
language : en
Publisher: Springer Nature
Release Date : 2024-04-28
Ai Driven Cybersecurity And Threat Intelligence written by Iqbal H. Sarker and has been published by Springer Nature this book supported file pdf, txt, epub, kindle and other format this book has been release on 2024-04-28 with Computers categories.
This book explores the dynamics of how AI (Artificial Intelligence) technology intersects with cybersecurity challenges and threat intelligence as they evolve. Integrating AI into cybersecurity not only offers enhanced defense mechanisms, but this book introduces a paradigm shift illustrating how one conceptualize, detect and mitigate cyber threats. An in-depth exploration of AI-driven solutions is presented, including machine learning algorithms, data science modeling, generative AI modeling, threat intelligence frameworks and Explainable AI (XAI) models. As a roadmap or comprehensive guide to leveraging AI/XAI to defend digital ecosystems against evolving cyber threats, this book provides insights, modeling, real-world applications and research issues. Throughout this journey, the authors discover innovation, challenges, and opportunities. It provides a holistic perspective on the transformative role of AI in securing the digital world. Overall, the useof AI can transform the way one detects, responds and defends against threats, by enabling proactive threat detection, rapid response and adaptive defense mechanisms. AI-driven cybersecurity systems excel at analyzing vast datasets rapidly, identifying patterns that indicate malicious activities, detecting threats in real time as well as conducting predictive analytics for proactive solution. Moreover, AI enhances the ability to detect anomalies, predict potential threats, and respond swiftly, preventing risks from escalated. As cyber threats become increasingly diverse and relentless, incorporating AI/XAI into cybersecurity is not just a choice, but a necessity for improving resilience and staying ahead of ever-changing threats. This book targets advanced-level students in computer science as a secondary textbook. Researchers and industry professionals working in various areas, such as Cyber AI, Explainable and Responsible AI, Human-AI Collaboration, Automation and Intelligent Systems, Adaptive and Robust Security Systems, Cybersecurity Data Science and Data-Driven Decision Making will also find this book useful as reference book.
Generative Ai Security
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Author : Ken Huang
language : en
Publisher: Springer Nature
Release Date : 2024-04-05
Generative Ai Security written by Ken Huang and has been published by Springer Nature this book supported file pdf, txt, epub, kindle and other format this book has been release on 2024-04-05 with Business & Economics categories.
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.
The Blueprint For Ai Adoption And Societal Transformation
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Author : Sandeep Bhalekar
language : en
Publisher: CRC Press
Release Date : 2025-12-17
The Blueprint For Ai Adoption And Societal Transformation written by Sandeep Bhalekar and has been published by CRC Press this book supported file pdf, txt, epub, kindle and other format this book has been release on 2025-12-17 with Computers categories.
This book analyses artificial intelligence (AI) and its impact on sustainability, ethics, security, and society. It provides actionable strategies for eco‐friendly AI, navigating legal frameworks and implementing ethical practices. It examines security challenges from AI misuse, outlining necessary cybersecurity enhancements. Real‐world case studies bridge theory and practice. Guidance is provided for aligning AI adoption with societal and environmental goals, promoting responsible AI development for a sustainable future. This comprehensive study of AI begins by looking at AI’s role in environmental sustainability, providing actionable strategies for eco‐friendly AI development and deployment. This includes understanding the complex relationship between AI and the environment to minimise its footprint and promote AI solutions that contribute to environmental goals. The authors extend into an insightful discussion on navigating the intricate legal frameworks and implementing ethical AI practices. This guidance reduces the risk of legal challenges and reputational damage, leading to increased trust and responsible AI development and use. Bridging the gap between theory and practice is another important feature in this book. With real‐world case studies, the reader gains a practical understanding of how AI is being used in different contexts. This enhances the accelerated adoption and increased innovation of AI solutions in different fields. This book provides a clear roadmap for responsible and sustainable AI integration, aligning AI initiatives with broader societal and environmental objectives. The primary audience for this book includes business leaders, professionals, policymakers, technologists, and AI practitioners.
Proceedings Of 20th Iberian Conference On Information Systems And Technologies Cisti 2025
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Author : Alvaro Rocha
language : en
Publisher: Springer Nature
Release Date : 2026-01-01
Proceedings Of 20th Iberian Conference On Information Systems And Technologies Cisti 2025 written by Alvaro Rocha and has been published by Springer Nature this book supported file pdf, txt, epub, kindle and other format this book has been release on 2026-01-01 with Computers categories.
This book comprises peer-reviewed papers selected for presentation and discussion at the 20th Iberian Conference on Information Systems and Technologies (CISTI'2025), held from June 16 to 19, 2025, at ISEG—Lisbon School of Economics and Management, University of Lisbon, Portugal. CISTI’2025 is a leading international forum that brings together researchers, practitioners, and industry experts to exchange the latest research findings, innovative solutions, emerging trends, professional experiences, and key challenges across various domains of information systems and technologies. The conference also emphasizes recent technological advancements and their practical applications. The book covers essential topics such as: A) organizational models and information systems; B) knowledge management and decision support systems; C) software systems, architectures, applications, and tools; D) computer networks, mobility, and pervasive systems; E) human-centered computing; F) health informatics; G) information technologies in education; and H) architecture and engineering of construction. The primary audience for this publication includes postgraduate students, researchers, and academics in information systems and technologies. It also serves as an essential reference for undergraduate students and professionals in related fields.
Introduction To Generative Ai Second Edition
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Author : Numa Dhamani
language : en
Publisher: Simon and Schuster
Release Date : 2026-01-13
Introduction To Generative Ai Second Edition written by Numa Dhamani and has been published by Simon and Schuster this book supported file pdf, txt, epub, kindle and other format this book has been release on 2026-01-13 with Computers categories.
Get up to speed quickly with generative AI! AI tools like ChatGPT and Gemini, automated coding tools like Cursor and Copilot, and countless LLM-powered agents have become a part of daily life. They’ve also spawned a storm of misinformation, hype, and doomsaying that makes it tough to understand exactly what Generative AI actually is and what it can really do. Introduction to Generative AI, Second Edition delivers a clearly-written survey of generative AI fundamentals along with the techniques and strategies you need to use AI safely and effectively. In this easy-to-read introduction, you’ll learn: • How large language models (LLMs) work • How to apply AI across personal and professional work • The social, legal, and policy landscape around generative AI • Emerging trends like reasoning models and vibe coding Introduction to Generative AI, Second Edition guides you from your first eye-opening interaction with tools like ChatGPT to how AI tools can transform your personal and professional life safely and responsibly. This second edition has been completely revised to reflect the latest developments in the field—from the latest innovations in prompt engineering and AI agents to fresh coverage of multimodal training, reasoning models, no-code tools, retrieval-augmented generation (RAG), and more. About the book Introduction to Generative AI, Second Edition is an up-to-date guide to the capabilities, risks, and limitations of tools like ChatGPT, Gemini, and Claude. This easy-to-follow guide moves quickly through the basics, giving you the skills and understanding to use AI with confidence. Along the way, you’ll explore how AI is impacting even established industries, with an expert-level look at global investment in AI, AI education policy, AI’s economic impact, and the ongoing legal and ethical issues of AI usage. About the reader For anyone interested in generative AI. No technical experience required. About the author Numa Dhamani is a natural language processing expert working at the intersection of technology and society. Maggie Engler is an engineer and researcher currently working on safety for large language models.