Ai Driven Cybersecurity And Threat Intelligence
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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.
Al Powered Cybersecurity And Threat Intelligence For Digital Protection
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Author : Mr. Kumbam Venkat Reddy , Dr. ER Biju Mrs. S.M.Hemalatha , Mr. R.Stalinbabu Dr. Manorama Patnaik
language : en
Publisher: RK Publication
Release Date : 2025-07-19
Al Powered Cybersecurity And Threat Intelligence For Digital Protection written by Mr. Kumbam Venkat Reddy , Dr. ER Biju Mrs. S.M.Hemalatha , Mr. R.Stalinbabu Dr. Manorama Patnaik and has been published by RK Publication this book supported file pdf, txt, epub, kindle and other format this book has been release on 2025-07-19 with Computers categories.
This book explores the integration of Artificial Intelligence in cybersecurity and threat intelligence, highlighting advanced methods for real-time intrusion detection, anomaly analysis, and proactive defense. It emphasizes AI-driven solutions for safeguarding digital infrastructures, addressing evolving cyber threats, and strengthening resilience across industries, ensuring secure, adaptive, and intelligent digital protection.
Artificial Intelligence In Cyber Security Advanced Threat Detection And Prevention Strategies
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Author : Rajesh David
language : en
Publisher: RK Publication
Release Date : 2024-11-05
Artificial Intelligence In Cyber Security Advanced Threat Detection And Prevention Strategies written by Rajesh David and has been published by RK Publication this book supported file pdf, txt, epub, kindle and other format this book has been release on 2024-11-05 with Computers categories.
Artificial Intelligence in Cyber Security Advanced Threat Detection and Prevention Strategies the transformative role of AI in strengthening cybersecurity defenses. This a comprehensive guide to how AI-driven technologies can identify, analyze, and mitigate sophisticated cyber threats in real time. Covering advanced techniques in machine learning, anomaly detection, and behavioral analysis, it offers strategic insights for proactively defending against cyber attacks. Ideal for cybersecurity professionals, IT managers, and researchers, this book illuminates AI's potential to anticipate vulnerabilities and safeguard digital ecosystems against evolving threats.
Ai Driven Cybersecurity
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Author : Hooman Razavi
language : en
Publisher: CRC Press
Release Date : 2025-09-26
Ai Driven Cybersecurity written by Hooman Razavi and has been published by CRC Press this book supported file pdf, txt, epub, kindle and other format this book has been release on 2025-09-26 with Computers categories.
This book delves into the revolutionary ways in which AI-driven innovations are enhancing every aspect of cybersecurity, from threat detection and response automation to risk management and endpoint protection. As AI continues to evolve, the synergy between cybersecurity and artificial intelligence promises to reshape the landscape of digital defence, providing the tools needed to tackle complex, ever-evolving cyber threats. Designed for professionals, researchers, and decision-makers, this book emphasizes that understanding and leveraging AI in cybersecurity is not just advantageous—it is essential for building robust, future-proof defences in a world where digital security is paramount.
Handbook Of Ai Driven Threat Detection And Prevention
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Author : Pankaj Bhambri
language : en
Publisher: CRC Press
Release Date : 2025-06-12
Handbook Of Ai Driven Threat Detection And Prevention written by Pankaj Bhambri and has been published by CRC Press this book supported file pdf, txt, epub, kindle and other format this book has been release on 2025-06-12 with Technology & Engineering categories.
In today’s digital age, the risks to data and infrastructure have increased in both range and complexity. As a result, companies need to adopt cutting-edge artificial intelligence (AI) solutions to effectively detect and counter potential threats. This handbook fills the existing knowledge gap by bringing together a team of experts to discuss the latest advancements in security systems powered by AI. The handbook offers valuable insights on proactive strategies, threat mitigation techniques, and comprehensive tactics for safeguarding sensitive data. Handbook of AI-Driven Threat Detection and Prevention: A Holistic Approach to Security explores AI-driven threat detection and prevention, and covers a wide array of topics such as machine learning algorithms, deep learning, natural language processing, and so on. The holistic view offers a deep understanding of the subject matter as it brings together insights and contributions from experts from around the world and various disciplines including computer science, cybersecurity, data science, and ethics. This comprehensive resource provides a well-rounded perspective on the topic and includes real-world applications of AI in threat detection and prevention emphasized through case studies and practical examples that showcase how AI technologies are currently being utilized to enhance security measures. Ethical considerations in AI-driven security are highlighted, addressing important questions related to privacy, bias, and the responsible use of AI in a security context. The investigation of emerging trends and future possibilities in AI-driven security offers insights into the potential impact of technologies like quantum computing and blockchain on threat detection and prevention. This handbook serves as a valuable resource for security professionals, researchers, policymakers, and individuals interested in understanding the intersection of AI and security. It equips readers with the knowledge and expertise to navigate the complex world of AI-driven threat detection and prevention. This is accomplished by synthesizing current research, insights, and real-world experiences.
Demystifying Ai And Ml For Cyber Threat Intelligence
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Author : Ming Yang
language : en
Publisher: Springer Nature
Release Date : 2025-08-16
Demystifying Ai And Ml For Cyber Threat Intelligence written by Ming Yang and has been published by Springer Nature this book supported file pdf, txt, epub, kindle and other format this book has been release on 2025-08-16 with Computers categories.
This book simplifies complex AI and ML concepts, making them accessible to security analysts, IT professionals, researchers, and decision-makers. Cyber threats have become increasingly sophisticated in the ever-evolving digital landscape, making traditional security measures insufficient to combat modern attacks. Artificial intelligence (AI) and machine learning (ML) have emerged as transformative tools in cybersecurity, enabling organizations to detect, prevent, and respond to threats with greater efficiency. This book is a comprehensive guide, bridging the gap between cybersecurity and AI/ML by offering clear, practical insights into their role in threat intelligence. Readers will gain a solid foundation in key AI and ML principles, including supervised and unsupervised learning, deep learning, and natural language processing (NLP) while exploring real-world applications such as intrusion detection, malware analysis, and fraud prevention. Through hands-on insights, case studies, and implementation strategies, it provides actionable knowledge for integrating AI-driven threat intelligence into security operations. Additionally, it examines emerging trends, ethical considerations, and the evolving role of AI in cybersecurity. Unlike overly technical manuals, this book balances theoretical concepts with practical applications, breaking down complex algorithms into actionable insights. Whether a seasoned professional or a beginner, readers will find this book an essential roadmap to navigating the future of cybersecurity in an AI-driven world. This book empowers its audience to stay ahead of cyber adversaries and embrace the next generation of intelligent threat detection.
Cyber Intelligence
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Author : Aloïs LaVigne
language : en
Publisher: Independently Published
Release Date : 2024-12-31
Cyber Intelligence written by Aloïs LaVigne and has been published by Independently Published this book supported file pdf, txt, epub, kindle and other format this book has been release on 2024-12-31 with Computers categories.
In an era where cyber threats are constantly evolving, organizations need to adopt cutting-edge technologies to defend against sophisticated and ever-more destructive attacks. Cyber Intelligence: AI and Machine Learning Approaches to Security by Aloïs Lavigne offers an in-depth exploration of how artificial intelligence (AI) and machine learning (ML) can enhance cybersecurity and help organizations build resilient defenses. This comprehensive guide delves into the world of AI-driven cybersecurity, detailing the fundamentals of machine learning, deep learning, natural language processing (NLP), and other cutting-edge technologies. With practical insights, real-world applications, and case studies, this book provides a roadmap for anyone looking to understand how AI and ML are transforming the landscape of cybersecurity. Whether you are a cybersecurity professional, data scientist, or IT manager, this book will empower you with the knowledge to leverage AI and ML tools to detect, prevent, and respond to cyber threats. It explains the key principles behind AI models and how they can be applied to threat detection, anomaly identification, predictive analytics, and automated incident response. Why You Should Read This Book Comprehensive Coverage of AI and ML in Cybersecurity: This book offers a well-rounded exploration of the current state of AI and machine learning in the realm of cybersecurity. From an overview of machine learning algorithms to practical applications in network defense, it covers all the major areas where AI is being applied to cybersecurity. Key Topics Covered: Introduction to Cyber Intelligence: Learn about the evolution of cyber threats and the crucial role AI plays in cybersecurity today. Machine Learning Techniques: Explore supervised, unsupervised, and reinforcement learning models for cybersecurity applications. Threat Detection Using Machine Learning: Dive into how machine learning algorithms can be applied to identify malicious activities and suspicious behavior. Anomaly Detection and Behavioral Analysis: Learn how to leverage unsupervised learning for detecting abnormal behavior and potential intrusions. Natural Language Processing (NLP) in Threat Intelligence: Understand how NLP can be used to process unstructured data, identify cyber threats, and extract actionable intelligence. Predictive Analytics in Cybersecurity: Discover how AI can be used to predict cyberattacks and proactively secure systems before an incident occurs. AI-Driven Security Automation: Learn how AI-powered systems can automate threat detection, analysis, and incident response, reducing response time and human error. Reinforcement Learning for Adaptive Security: Explore the application of reinforcement learning for dynamic threat mitigation and evolving security strategies. Deep Learning in Cyber Defense: Dive into the world of deep learning and neural networks, including their use in detecting advanced cyber threats like phishing and malware. Ethical and Legal Implications of AI in Security: Address the ethical concerns and legal frameworks surrounding the use of AI in cybersecurity. Building Robust Cyber Intelligence Systems: Learn how to design AI-powered systems that are resilient, scalable, and adaptable to changing cyber threats. Case Studies: Understand how organizations are using AI and machine learning to successfully combat cyber threats through real-world examples. The Future of Cyber Intelligence: Explore emerging trends like quantum computing and AI-driven cybersecurity, and understand the ethical challenges they present.
Ai Enabled Threat Intelligence And Cyber Risk Assessment
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Author : Edlira Martiri
language : en
Publisher: CRC Press
Release Date : 2025-06-23
Ai Enabled Threat Intelligence And Cyber Risk Assessment written by Edlira Martiri and has been published by CRC Press this book supported file pdf, txt, epub, kindle and other format this book has been release on 2025-06-23 with Computers categories.
AI-Enabled Threat Intelligence and Cyber Risk Assessment delves into the transformative potential of artificial intelligence (AI) in revolutionizing cybersecurity, offering a comprehensive exploration of current trends, challenges, and future possibilities in mitigating cyber risks. This book brings together cutting-edge research and practical insights from an international team of experts to examine how AI technologies are reshaping threat intelligence, safeguarding data, and driving digital transformation across industries. The book covers a broad spectrum of topics, including AI-driven fraud prevention in digital marketing, strategies for building customer trust through data privacy, and the role of AI in enhancing educational and healthcare cybersecurity systems. Through in-depth analyses and case studies, it highlights the barriers to AI adoption, the legal and ethical considerations, and the development of resilient cybersecurity frameworks. Special emphasis is given to regional insights, such as the digital transformation of Kazakh businesses and the integration of AI in diverse global contexts, offering valuable lessons for researchers, policymakers, and practitioners. From safeguarding patient data in healthcare to addressing automated threats in digital marketing, this book provides actionable strategies and emerging perspectives on the evolving landscape of AI in risk management. Designed for academics, professionals, and students, AI-Enabled Threat Intelligence and Cyber Risk Assessment serves as an essential resource for understanding the intersection of AI, cybersecurity, and risk assessment. With contributions from leading researchers across various disciplines, this book underscores the critical role of AI in building resilient, ethical, and innovative solutions to today’s most pressing cybersecurity challenges.
Ai Driven Cyber Defense Enhancing Security With Machine Learning And Generative Ai
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Author : Dr Sivaraju Kuraku
language : en
Publisher: JEC PUBLICATION
Release Date :
Ai Driven Cyber Defense Enhancing Security With Machine Learning And Generative Ai 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 Fiction categories.
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Ai Driven Security Systems And Intelligent Threat Response Using Autonomous Cyber Defense
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Author : Alauthman, Mohammad
language : en
Publisher: IGI Global
Release Date : 2025-04-23
Ai Driven Security Systems And Intelligent Threat Response Using Autonomous Cyber Defense written by Alauthman, Mohammad and has been published by IGI Global this book supported file pdf, txt, epub, kindle and other format this book has been release on 2025-04-23 with Computers categories.
AI-driven security systems and intelligent threat response using autonomous cyber defense represent the cutting edge of cybersecurity technology. As cyber threats become more sophisticated, traditional defense mechanisms struggle to keep up with the scale and speed of attacks. AI-powered security systems utilize machine learning, pattern recognition, and data analysis to detect vulnerabilities, predict breaches, and respond to threats. These systems can learn from emerging threats, adapting to new attack methods and autonomously executing countermeasures without human intervention. By using advanced algorithms to recognize anomalies and mitigate risks, autonomous cyber defense offers a proactive solution to protect sensitive data and networks, ensuring faster responses to cyber incidents. AI-Driven Security Systems and Intelligent Threat Response Using Autonomous Cyber Defense delves into the cutting-edge integration of autonomous systems in cybersecurity, emphasizing AI-driven threat detection, response, and system resilience. It bridges the gap between traditional cybersecurity methods and emerging autonomous defense systems, presenting in-depth coverage of AI-driven security mechanisms, automated threat responses, and intelligent defense strategies. This book covers topics such as cybersecurity, infrastructure, and defense systems, and is a useful resource for engineers, security professionals, business owners, academicians, researchers, and computer scientists.