Generative Ai Security
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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.
Generative Ai Security
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Author : Shaila Rana
language : en
Publisher: John Wiley & Sons
Release Date : 2025-10-31
Generative Ai Security written by Shaila Rana 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 2025-10-31 with Computers categories.
Up-to-date reference enabling readers to address the full spectrum of AI security challenges while maintaining model utility Generative AI Security: Defense, Threats, and Vulnerabilities delivers a technical framework for securing generative AI systems, building on established standards while focusing specifically on emerging threats to large language models and other generative AI systems. Moving beyond treating AI security as a dual-use technology, this book provides detailed technical analysis of three critical dimensions: implementing AI-powered security tools, defending against AI-enhanced attacks, and protecting AI systems from compromise through attacks like prompt injection, model poisoning, and data extraction. The book provides concrete technical implementations supported by real-world case studies of actual AI system compromises, examining documented cases like the DeepSeek breaches, Llama vulnerabilities, and Google’s CaMeL security defenses to demonstrate attack methodologies and defense strategies while emphasizing foundational security principles that remain relevant despite technological shifts. Each chapter progresses from theoretical foundations to practical applications. The book also includes an implementation guide and hands-on exercises focusing on specific vulnerabilities in generative AI architectures, security control implementation, and compliance frameworks. Generative AI Security: Defense, Threats, and Vulnerabilities discusses topics including: Machine learning fundamentals, including supervised, unsupervised, and reinforcement learning and feature engineering and selection Intelligent Security Information and Event Management (SIEM), covering AI-enhanced log analysis, predictive vulnerability assessment, and automated patch generation Deepfakes and synthetic media, covering image and video manipulation, voice cloning, audio deepfakes, and AI’s greater impact on information integrity Security attacks on generative AI, including jailbreaking, adversarial, backdoor, and data poisoning attacks Privacy-preserving AI techniques including federated learning and homomorphic encryption Generative AI Security: Defense, Threats, and Vulnerabilities is an essential resource for cybersecurity professionals and architects, engineers, IT professionals, and organization leaders seeking integrated strategies that address the full spectrum of Generative AI security challenges while maintaining model utility.
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.
Revolutionizing The Cloud
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Author : Bishwajeet Pandey
language : en
Publisher: Springer
Release Date : 2025-12-13
Revolutionizing The Cloud written by Bishwajeet Pandey and has been published by Springer this book supported file pdf, txt, epub, kindle and other format this book has been release on 2025-12-13 with Computers categories.
This edited Book represents critical themes in the evolving intersection of cloud computing and artificial intelligence. Generative AI drives innovation in automation and infrastructure design, while cloud security, DevSecOps, and AI ethics address the need for safe, responsible deployment. Sustainable cloud computing, green cybersecurity, and carbon footprint reduction focus on minimizing environmental impact. Data privacy and governance ensure compliance and trust in AI-powered systems. AI-powered automation, real-time monitoring, and cloud cost optimization enhance efficiency, performance, and resource management. Multi-cloud and hybrid cloud strategies, combined with edge computing, AI, and IoT integration, enable scalability, low-latency processing, and intelligent ecosystems. Predictive AI capabilities support disaster recovery and business continuity, while regulatory compliance and FinOps maintain legal and financial control. Together, these concepts define cloud transformation through AI-driven cloud strategies, enabling resilient, ethical, and sustainable digital infrastructures.
Quantum Shield For Ai Security
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Author : Aleem Ali
language : en
Publisher: Walter de Gruyter GmbH & Co KG
Release Date : 2025-12-15
Quantum Shield For Ai Security written by Aleem Ali and has been published by Walter de Gruyter GmbH & Co KG this book supported file pdf, txt, epub, kindle and other format this book has been release on 2025-12-15 with Computers categories.
The book explores how quantum computing can protect AI systems from sophisticated adversarial threats. As AI applications grow in sectors like finance, healthcare, and critical infrastructure, vulnerabilities such as data poisoning and model inversion pose significant security risks. This book investigates how quantum methods can effectively counter these challenges. Distinct from existing literature, it combines theoretical insights with practical applications, covering quantum-enhanced cryptography, quantum machine learning for threat detection, and advanced algorithms tailored for AI. It provides actionable solutions for AI practitioners while also meeting the academic needs of researchers with rigorous mathematical treatments. The book is targeted at academic researchers, professionals, and graduate students in computer science interested in AI and quantum computing. It goes beyond mathematical concepts to bridge quantum theory and its practical applications across sciences and industries. By offering both foundational principles and advanced quantum defense applications, this book serves as a vital resource for those developing AI systems with robust, quantum-enhanced security.
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.
Ai Security Platforms Explained
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Author : Daniel Mercery
language : en
Publisher: Daniel Mercery
Release Date :
Ai Security Platforms Explained written by Daniel Mercery and has been published by Daniel Mercery this book supported file pdf, txt, epub, kindle and other format this book has been release on with Computers categories.
As organizations deploy AI at scale, security leaders face a fragmented and rapidly evolving vendor landscape. Choosing the wrong platform—or deploying the right one incorrectly—can create blind spots rather than reduce risk. AI Security Platforms Explained is a vendor-neutral guide for CISOs and security leaders responsible for evaluating, procuring, and operating AI security solutions. The book focuses on capabilities, integration points, and operational outcomes rather than marketing claims. It provides a clear framework for understanding what AI security platforms can—and cannot—do, and how they fit into existing security architectures. Readers will learn how to: Understand core capability categories across AI security platforms Map platform features to real operational risks Integrate AI security tooling with SOC, IAM, and governance workflows Evaluate visibility, policy enforcement, and audit coverage Assess ROI and avoid overlapping or redundant controls Ask the right procurement questions during vendor selection This book equips security leaders with the clarity needed to make informed decisions and operate AI security platforms effectively in production environments.
Information Security Applications
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Author : Jong-Hyouk Lee
language : en
Publisher: Springer Nature
Release Date : 2025-02-04
Information Security Applications written by Jong-Hyouk Lee and has been published by Springer Nature this book supported file pdf, txt, epub, kindle and other format this book has been release on 2025-02-04 with Computers categories.
This book constitutes the refereed proceedings of the 25th International Conference on Information Security Applications, WISA 2024, held in Jeju Island, South Korea, during August 21–23, 2024. The 28 full papers included in this book were carefully reviewed and selected from 87 submissions. They were organized in topical sections as follows: Cryptography; Network Security; AI Security 1; Network & Application Security; AI Security 2; CPS Security; Fuzzing; Malware; Software Security; and Emerging Topic.
Vulnerabilities Assessment And Risk Management In Cyber Security
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Author : Hussain, Khalid
language : en
Publisher: IGI Global
Release Date : 2025-04-08
Vulnerabilities Assessment And Risk Management In Cyber Security written by Hussain, Khalid and has been published by IGI Global this book supported file pdf, txt, epub, kindle and other format this book has been release on 2025-04-08 with Computers categories.
Vulnerability assessment and risk management are critical components of cybersecurity, focusing on identifying, evaluating, and mitigating potential threats to an organization’s digital infrastructure. As cyberattacks become more sophisticated, understanding vulnerabilities in software, hardware, or networks is essential for preventing breaches and safeguarding sensitive data. Risk management analyzes the potential impact of these vulnerabilities and implements strategies to minimize exposure to cyber threats. By addressing both vulnerabilities and risks, organizations can enhance their resilience, prioritize resources, and ensure a strong defense against new cyber challenges. Vulnerabilities Assessment and Risk Management in Cyber Security explores the use of cyber technology in threat detection and risk mitigation. It offers various solutions to detect cyber-attacks, create robust risk management strategies, and secure organizational and individual data. This book covers topics such as cloud computing, data science, and knowledge discovery, and is a useful resource for computer engineers, data scientists, security professionals, business owners, researchers, and academicians.
Utilizing Generative Ai For Cyber Defense Strategies
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Author : Jhanjhi, Noor Zaman
language : en
Publisher: IGI Global
Release Date : 2024-09-12
Utilizing Generative Ai For Cyber Defense Strategies 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 2024-09-12 with Computers categories.
As cyber threats become increasingly sophisticated, the need for innovative defense strategies becomes urgent. Generative artificial intelligence (AI) offers a revolutionary approach to enhance cybersecurity. By utilizing advanced algorithms, data analysis, and machine learning, generative AI can simulate complex attack scenarios, identify vulnerabilities, and develop proactive defense mechanisms while adapting to modern-day cyber-attacks. AI strengthens current organizational security while offering quick, effective responses to emerging threats. Decisive strategies are needed to integrate generative AI into businesses defense strategies and protect organizations from attacks, secure digital data, and ensure safe business processes. Utilizing Generative AI for Cyber Defense Strategies explores the utilization of generative AI tools in organizational cyber security and defense. Strategies for effective threat detection and mitigation are presented, with an emphasis on deep learning, artificial intelligence, and Internet of Things (IoT) technology. This book covers topics such as cyber security, threat intelligence, and behavior analysis, and is a useful resource for computer engineers, security professionals, business owners, government officials, data analysts, academicians, scientists, and researchers.