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Sentinel Wars The Ai Cybersecurity Conundrum

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Sentinel Wars The Ai Cybersecurity Conundrum

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Author : Nitesh Dilip Patil
language : en
Publisher: Kavya Publications
Release Date : 2023-12-28

Sentinel Wars The Ai Cybersecurity Conundrum written by Nitesh Dilip Patil and has been published by Kavya Publications this book supported file pdf, txt, epub, kindle and other format this book has been release on 2023-12-28 with True Crime categories.

Code War The Ai Revolution In Cybersecurity

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Author : Touhid Bhuiyan
language : en
Publisher: QUILL TECH PUBLICATIONS
Release Date : 2025-06-30

Code War The Ai Revolution In Cybersecurity written by Touhid Bhuiyan and has been published by QUILL TECH PUBLICATIONS this book supported file pdf, txt, epub, kindle and other format this book has been release on 2025-06-30 with categories.

Code War: The AI Revolution in Cybersecurity is a comprehensive exploration of how artificial intelligence is transforming the digital battlefield of cybersecurity. Spanning decades—from the early days of ARPANET and the Creeper virus to the modern challenges of AI-powered malware and deepfake threats—this book traces the evolution of cyber threats and the corresponding defenses. It presents a vivid historical narrative, examining how computing’s rise also invited the emergence of increasingly sophisticated attacks. The book begins with a detailed chronicle of early computer worms, viruses, and the dawn of security awareness, setting the foundation for modern cybersecurity strategies. As technology advanced through the 1980s and 1990s, firewalls, antivirus software, and web-based threats took center stage, reflecting society’s increasing dependence on interconnected digital systems. Entering the 21st century, readers are immersed in the explosive growth of IoT devices, mobile computing, and cloud platforms, all of which expanded the attack surface and challenged traditional security models. The narrative shifts to the COVID-19 pandemic, revealing how remote work vulnerabilities and cybercrime surged in tandem, impacting individuals, corporations, and critical infrastructures worldwide. At its core, the book explores the powerful dual role of AI—as a defender and as a weapon. It explains how AI technologies like machine learning, anomaly detection, and natural language processing are revolutionizing cyber defense, enabling faster, smarter, and more adaptive protection. Yet it also reveals how cybercriminals are exploiting AI to create convincing phishing attacks, voice cloning scams, and autonomous malware, introducing an era where cyber threats are more dynamic and personalized than ever before. Through vivid real-world examples, expert analysis, and a balanced ethical discussion, Code War reveals why cybersecurity must evolve from static defenses to intelligent, adaptive systems. It highlights emerging paradigms like Zero Trust, explainable AI, and the integration of human-machine collaboration in security operations centers. Whether you're a cybersecurity professional, tech enthusiast, policymaker, or simply curious about the digital threats shaping our world, this book offers a gripping, insightful, and timely journey into the future of cyber defense. As AI takes center stage in the fight against digital threats, Code War provides the roadmap to navigate—and survive—the AI revolution in cybersecurity.

Adversary Aware Learning Techniques And Trends In Cybersecurity

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Author : Prithviraj Dasgupta
language : en
Publisher:
Release Date : 2021

Adversary Aware Learning Techniques And Trends In Cybersecurity written by Prithviraj Dasgupta and has been published by this book supported file pdf, txt, epub, kindle and other format this book has been release on 2021 with categories.

This book is intended to give researchers and practitioners in the cross-cutting fields of artificial intelligence, machine learning (AI/ML) and cyber security up-to-date and in-depth knowledge of recent techniques for improving the vulnerabilities of AI/ML systems against attacks from malicious adversaries. The ten chapters in this book, written by eminent researchers in AI/ML and cyber-security, span diverse, yet inter-related topics including game playing AI and game theory as defenses against attacks on AI/ML systems, methods for effectively addressing vulnerabilities of AI/ML operating in large, distributed environments like Internet of Things (IoT) with diverse data modalities, and, techniques to enable AI/ML systems to intelligently interact with humans that could be malicious adversaries and/or benign teammates. Readers of this book will be equipped with definitive information on recent developments suitable for countering adversarial threats in AI/ML systems towards making them operate in a safe, reliable and seamless manner.

Navigating The Intersection Of Artificial Intelligence Security And Ethical Governance

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Author : Reza Montasari
language : en
Publisher: Springer
Release Date : 2024-12-14

Navigating The Intersection Of Artificial Intelligence Security And Ethical Governance written by Reza Montasari and has been published by Springer this book supported file pdf, txt, epub, kindle and other format this book has been release on 2024-12-14 with Computers categories.

Adversary Aware Learning Techniques And Trends In Cybersecurity

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Author : Prithviraj Dasgupta
language : en
Publisher: Springer
Release Date : 2022-01-23

Adversary Aware Learning Techniques And Trends In Cybersecurity written by Prithviraj Dasgupta and has been published by Springer this book supported file pdf, txt, epub, kindle and other format this book has been release on 2022-01-23 with Computers categories.

Combating Cyberattacks Targeting The Ai Ecosystem

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Author : Aditya K. Sood
language : en
Publisher: Stylus Publishing, LLC
Release Date : 2024-10-10

Combating Cyberattacks Targeting The Ai Ecosystem written by Aditya K. Sood and has been published by Stylus Publishing, LLC this book supported file pdf, txt, epub, kindle and other format this book has been release on 2024-10-10 with Computers categories.

This book explores in detail the AI-driven cyber threat landscape, including inherent AI threats and risks that exist in Large Language Models (LLMs), Generative AI applications, and the AI infrastructure. The book highlights hands-on technical approaches to detect security flaws in AI systems and applications utilizing the intelligence gathered from real-world case studies. Lastly, the book presents a very detailed discussion of the defense mechanisms and practical solutions to secure LLMs, GenAI applications, and the AI infrastructure. The chapters are structured with a granular framework, starting with AI concepts, followed by practical assessment techniques based on real-world intelligence, and concluding with required security defenses. Artificial Intelligence (AI) and cybersecurity are deeply intertwined and increasingly essential to modern digital defense strategies. The book is a comprehensive resource for IT professionals, business leaders, and cybersecurity experts for understanding and defending against AI-driven cyberattacks. FEATURES: Includes real-world case studies with detailed examples of AI-centric attacks and defense mechanisms Features hands-on security assessments with practical techniques for evaluating the security of AI systems Demonstrates advanced defense strategies with proven methods to protect LLMs, GenAI applications, and the infrastructure

Exploring The Intersection Of Artificial Intelligence And Cyber Defense

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Author : Stephen Nnamdi
language : en
Publisher:
Release Date : 2023-04

Exploring The Intersection Of Artificial Intelligence And Cyber Defense written by Stephen Nnamdi and has been published by this book supported file pdf, txt, epub, kindle and other format this book has been release on 2023-04 with Computers categories.

This book explores the groundbreaking role of artificial intelligence in reshaping cybersecurity, offering a thorough foundation in AI concepts and their application to modern threat detection and response. By examining how machine learning algorithms and advanced AI techniques are transforming cyber threat identification and management, it provides a clear view of the power of AI-driven solutions. Through detailed discussions, it illustrates how AI automates critical processes such as incident response, predictive analytics, and behavioral analysis, showcasing the technology's ability to uncover vulnerabilities and defend against sophisticated threats like zero-day exploits. In addition to practical case studies demonstrating AI's integration into current security frameworks, the book addresses essential ethical and privacy considerations, emphasizing the need for a balanced approach in deploying AI for cybersecurity. The final chapters look ahead, exploring the future landscape of AI in cyber defense and examining upcoming trends and challenges. For professionals and enthusiasts alike, this comprehensive guide delivers valuable insights into leveraging AI to build stronger, more resilient cybersecurity systems.

Artificial Intelligence For Cybersecurity

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Author : Bojan Kolosnjaji
language : en
Publisher: Packt Publishing
Release Date : 2024-10-31

Artificial Intelligence For Cybersecurity written by Bojan Kolosnjaji and has been published by Packt Publishing this book supported file pdf, txt, epub, kindle and other format this book has been release on 2024-10-31 with Computers categories.

Gain well-rounded knowledge of AI methods in cybersecurity and obtain hands-on experience in implementing them to bring value to your organization Key Features: - Familiarize yourself with AI methods and approaches and see how they fit into cybersecurity - Learn how to design solutions in cybersecurity that include AI as a key feature - Acquire practical AI skills using step-by-step exercises and code examples - Purchase of the print or Kindle book includes a free PDF eBook Book Description: Artificial intelligence offers data analytics methods that enable us to efficiently recognize patterns in large-scale data. These methods can be applied to various cybersecurity problems, from authentication and the detection of various types of cyberattacks in computer networks to the analysis of malicious executables. Written by a machine learning expert, this book introduces you to the data analytics environment in cybersecurity and shows you where AI methods will fit in your cybersecurity projects. The chapters share an in-depth explanation of the AI methods along with tools that can be used to apply these methods, as well as design and implement AI solutions. You'll also examine various cybersecurity scenarios where AI methods are applicable, including exercises and code examples that'll help you effectively apply AI to work on cybersecurity challenges. The book also discusses common pitfalls from real-world applications of AI in cybersecurity issues and teaches you how to tackle them. By the end of this book, you'll be able to not only recognize where AI methods can be applied, but also design and execute efficient solutions using AI methods. What You Will Learn: - Recognize AI as a powerful tool for intelligence analysis of cybersecurity data - Explore all the components and workflow of an AI solution - Find out how to design an AI-based solution for cybersecurity - Discover how to test various AI-based cybersecurity solutions - Evaluate your AI solution and describe its advantages to your organization - Avoid common pitfalls and difficulties when implementing AI solutions Who this book is for: This book is for machine learning practitioners looking to apply their skills to overcome cybersecurity challenges. Cybersecurity workers who want to leverage machine learning methods will also find this book helpful. Fundamental concepts of machine learning and beginner-level knowledge of Python programming are needed to understand the concepts present in this book. Whether you're a student or an experienced professional, this book offers a unique and valuable learning experience that will enable you to protect your network and data against the ever-evolving threat landscape. Table of Contents - Big Data in Cybersecurity - Automation in Cybersecurity - Cybersecurity Data Analytics - AI, Machine Learning, and Statistics - A Taxonomy - AI Problems and Methods - Workflow, Tools, and Libraries in AI Projects - Malware and Network Intrusion Detection and Analysis - User and Entity Behavior Analysis - Fraud, Spam, and Phishing Detection - User Authentication and Access Control - Threat Intelligence - Anomaly Detection in Industrial Control Systems - Large Language Models and Cybersecurity - Data Quality and Its Usage in the AI and LLM Era - Correlation, Causation, Bias, and Variance - Evaluation, Monitoring, and Feedback Loop - Learning in a Changing and Adversarial Environment - Privacy, Accountability, Explainability, and Trust - Responsible AI - Summary

Cyber Security In The Age Of Artificial Intelligence And Autonomous Weapons

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Author : Mehmet Emin Erendor
language : en
Publisher:
Release Date : 2025

Cyber Security In The Age Of Artificial Intelligence And Autonomous Weapons written by Mehmet Emin Erendor and has been published by this book supported file pdf, txt, epub, kindle and other format this book has been release on 2025 with Artificial intelligence categories.

"Although recent advances in technology have made life easier for individuals, societies and states, they have also led to the emergence or emergence of new and different problems in the context of security. In this context, it does not seem possible to analyze the developments in the field of cyber security only with information theft or hacking, especially in the age of artificial intelligence and autonomous weapons. For this reason, the main purpose of the book project is to explain the phenomena from a different perspective by addressing artificial intelligence and autonomous weapons, which remain in the background while focusing on cyber security. While addressing these phenomena, it is aimed to make the study multidisciplinary and to include authors from different countries and different geographies. The scope and content of the study differs significantly from previously published studies, especially in terms of the issues it focuses on and deals with. In this context, the book offers readers hopes as well as warnings about how technology can be used for the public good, and especially those working in government, law enforcement and technology companies can learn useful lessons from it"--

Sentinel Wars The Ai Cybersecurity Conundrum

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