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 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.
The Next Frontier In Cybersecurity Integrating Ai Ml And Generative Ai For Advanced Protection
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Author : Dr Sivaraju Kuraku
language : en
Publisher: JEC PUBLICATION
Release Date :
The Next Frontier In Cybersecurity Integrating Ai Ml And Generative Ai For Advanced Protection written by Dr Sivaraju Kuraku and has been published by JEC PUBLICATION this book supported file pdf, txt, epub, kindle and other format this book has been release on with Architecture categories.
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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.
Agentic Ai
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Author : Ken Huang
language : en
Publisher: Springer Nature
Release Date : 2025-07-11
Agentic Ai 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 2025-07-11 with Business & Economics categories.
This book analyzes the rise and transformative impact of generative AI agents or Agentic AI across industries, offering a comprehensive exploration of their development, applications, and implications. It highlights how these systems are revolutionizing business processes, enhancing decision-making, and reshaping entire sectors from finance to healthcare. It traces the evolution of AI agents from early programs to today’s sophisticated autonomous systems, providing a taxonomy of agent types. It then explores cutting-edge tools and frameworks for development, such as AutoGen, Langgraph, and CrewAI, offering practical insights for their deployment. Key focus areas include evaluating multiagent systems and coordination techniques, addressing challenges in communication, and conflict resolution. The book presents case studies from banking, insurance, healthcare, and cybersecurity, showcasing how autonomous agents are automating tasks and driving innovation. In turn, the book provides in-depth analyses of Agentic AI in emerging fields like gene editing, robotics, and business process automation, demonstrating its potential to accelerate scientific research and value creation. The discussion extends to economic ramifications, examining impacts on macroeconomic trends, microeconomic dynamics within businesses, and the emergence of decentralized, token-based economies. Throughout, thought-provoking questions encourage readers to consider the broader implications of these technological advances. The work concludes with a critical examination of related safety and security considerations, emphasizing the need for proactive measures. Maintaining a forward-looking perspective, it prompts readers to consider how these technologies might reshape industries and society, raising important questions about the changing nature of work, ethical aspects, and equitable distribution of benefits. 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.
Cybersecurity With Aws
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Author : Syed Rehan
language : en
Publisher: Springer Nature
Release Date : 2025-08-13
Cybersecurity With Aws written by Syed Rehan and has been published by Springer Nature this book supported file pdf, txt, epub, kindle and other format this book has been release on 2025-08-13 with Computers categories.
Learn the most important topics in securing AWS environments through a strategic combination of fundamental principles, real-case studies, and hands-on practice to battle new generations of cyber-attacks. The book offers a definitive guide to AWS cybersecurity, ranging from identity and access management, Zero Trust architecture, and cloud threat intelligence through advanced detection methods, forensics, and incident response strategies. We start with a deep dive into AWS security fundamentals, such as the shared responsibility model, security pillars, reference architecture, and compliance frameworks like NIST, ISO/IEC 27001, PCI DSS, GDPR, and HIPAA. We then demystify cloud security by explaining threat modeling, risk analysis, network security, secure configurations, and automated security monitoring with AWS-native services such as AWS Security Hub, GuardDuty, WAF, and IAM. In addition to the fundamentals, this book explores attacker tactics, techniques, and procedures (TTPs)—taking a deep dive into cyber adversary activity, such as reconnaissance, lateral movement, persistence, privilege escalation, and exfiltration methods in AWS environments. You will discover how cyber attackers take advantage of poorly configured IAM roles, AWS exposed credentials, cloud reconnaissance methods, and AI-powered phishing campaigns—and learn how to successfully fight back. Next few chapters offer prescriptive security advice for new technologies such as serverless computing, containerized workloads, hybrid and multi-cloud security, IoT security issues, and cryptocurrency threats. We cover Zero Trust frameworks, presenting real-world implementations founded on NIST SP 800-207, Forrester ZTX, and CSA Zero Trust Architecture principles. The book finishes with a forward-looking discussion of AI-powered threats such as deepfake attacks, AI-powered malware, and next-generation adversarial attacks and defense countermeasures founded on AI-powered detection and automation. Furthermore, detailed incident response and forensic techniques provide readers with the know-how to examine AWS security incidents, create playbooks, and employ proactive defense. You Will: Examine and remediate cloud security threats using comprehensive risk analysis, proactive monitoring, and AWS-native security tools Get hands-on implementation of Zero Trust architectures, identity-based security, and least privilege principles in AWS Find out how to detect and respond to sophisticated cyberattacks, including credential theft, cloud-aware malware, and AI-powered phishing campaigns Learn to Mitigate ransomware threats in AWS, including prevention, detection, response, and disaster recovery techniques Explore how to secure multi-cloud and hybrid deployments, IoT, serverless apps, and containerized workloads Understand practical approaches to automating cloud security, monitoring compliance, and creating efficient detection pipelines Who This Book Is For The book caters to beginner-to-intermediate cybersecurity professionals, AWS users, solution architects, developers, and cloud security enthusiasts seeking a comprehensive understanding of AWS security.
Ai On The Edge With Security
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Author : Naresh Kumar Sehgal
language : en
Publisher: Springer Nature
Release Date : 2024-12-24
Ai On The Edge With Security written by Naresh Kumar Sehgal and has been published by Springer Nature this book supported file pdf, txt, epub, kindle and other format this book has been release on 2024-12-24 with Computers categories.
This book provides readers with an overview of the next generation of Cloud computing with AI, evolving to minimize latency and address privacy/security concerns of many customers. This book will highlight the associated problems and propose new solutions for performing AI and ML at the edge of computing networks.
Artificial Intelligence For Financial Risk Management And Analysis
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Author : Derbali, Abdelkader Mohamed Sghaier
language : en
Publisher: IGI Global
Release Date : 2025-04-08
Artificial Intelligence For Financial Risk Management And Analysis written by Derbali, Abdelkader Mohamed Sghaier 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 Business & Economics categories.
The revolution of artificial intelligence (AI) impacts various business sectors, including accounting and finance. Machine intelligence is on the rise in human interaction, as novel technologies automate tasks and enhance human capabilities at an increasingly rapid rate. While AI has the potential to assist in the identification and management of risks, such as in financial risk measurement, analysis, and management, the disruptive nature of these emerging technologies introduces new and complex scenarios. Utilizing these technologies to facilitate decision-making processes could result in biased, inequitable, and unreliable decisions, giving rise to concerns regarding data, privacy, and security. Further research is necessary to understand the implications of AI in financial practices. Artificial Intelligence for Financial Risk Management and Analysis delves into the most recent advancements in AI technologies that facilitate risk analysis and decision-making. It examines the potential risks these technologies pose to individuals, businesses, and establishments. Covering topics such as firm management, automation, and long short-term memory (LSTM) networks, this book is an excellent resource for financial advisors, banking professionals, computer scientists, professionals, researchers, academicians, and more.
Deep Learning Innovations For Securing Critical Infrastructures
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Author : Kumar, Rajeev
language : en
Publisher: IGI Global
Release Date : 2025-04-18
Deep Learning Innovations For Securing Critical Infrastructures written by Kumar, Rajeev and has been published by IGI Global this book supported file pdf, txt, epub, kindle and other format this book has been release on 2025-04-18 with Computers categories.
Deep learning innovations play a crucial role in securing critical infrastructures, offering advanced solutions to protect vital systems from sophisticated cyber threats. By leveraging neural networks and advanced algorithms, deep learning enables real-time anomaly detection, pattern recognition, and predictive threat analysis, which are essential for safeguarding critical sectors such as energy, transportation, healthcare, and finance. These technologies can identify vulnerabilities, respond to breaches, and adapt to new attacks, providing a strong defense against cyber risks. As the digital landscape becomes more interconnected, the integration of deep learning into cybersecurity strategies will enhance resilience while ensuring the safe operation of essential services. Deep Learning Innovations for Securing Critical Infrastructures explores the cutting-edge integration of neural networks and artificial intelligence (AI) in modern cybersecurity systems. It examines how AI, particularly neural network models, is revolutionizing cybersecurity by automating threat detection, analyzing complex data patterns, and implementing proactive defense mechanisms. This book covers topics such as blockchain, cloud computing, and event management, and is a useful resource for business owners, computer engineers, data scientists, academicians, and researchers.