Ml And Cybersecurity Ai For Threat Detection And Prevention
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Ml And Cybersecurity Ai For Threat Detection And Prevention
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Author : Dr. Araddhana Manisha Arvind Deshmukh
language : en
Publisher: Academic Guru Publishing House
Release Date : 2025-01-06
Ml And Cybersecurity Ai For Threat Detection And Prevention written by Dr. Araddhana Manisha Arvind Deshmukh and has been published by Academic Guru Publishing House this book supported file pdf, txt, epub, kindle and other format this book has been release on 2025-01-06 with Study Aids categories.
ML and Cybersecurity: Al for Threat Detection and Prevention" is a comprehensive guide that focuses on the critical role of Artificial Intelligence (AI) and Machine Learning (ML) in the field of cybersecurity. As cyber threats become increasingly sophisticated and frequent, traditional security methods struggle to provide adequate protection. This book addresses the growing demand for Al-powered solutions that can detect and prevent threats in real-time. The book provides a detailed exploration of various Al and ML techniques used to enhance cybersecurity, including supervised and unsupervised learning, behavioral analysis, and predictive analytics. It explains how Al technologies help identify threats faster and more accurately, reduce human error, and streamline security processes. Moreover, the book highlights practical applications and real-world examples, including Al-powered intrusion detection systems, automated incident response, and enhanced security information systems. Additionally, ethical considerations, privacy concerns, and challenges related to integrating Al with cybersecurity are thoroughly examined.
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.
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.
Utilizing Ai In Network And Mobile Security For Threat Detection And Prevention
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Author : Almaiah, Mohammed Amin
language : en
Publisher: IGI Global
Release Date : 2025-04-16
Utilizing Ai In Network And Mobile Security For Threat Detection And Prevention written by Almaiah, Mohammed Amin and has been published by IGI Global this book supported file pdf, txt, epub, kindle and other format this book has been release on 2025-04-16 with Computers categories.
Artificial intelligence (AI) revolutionizes how organizations protect their digital information against cyber threats. Traditional security methods are often insufficient when faced with sophisticated attacks. AI-powered systems utilize machine learning, deep learning, and advanced analytics to detect patterns, identify anomalies, and predict potential threats in real time. By analyzing network traffic and mobile device behavior, AI can recognize and respond to malicious activity before it causes harm. This proactive approach enhances security protocols, reduces human error, and strengthens defenses against a wide range of cyberattacks, from malware to data breaches. Further research may reveal AI as an indispensable tool for securing networks and mobile environments, providing smarter, more adaptive solutions for threat detection and prevention. Utilizing AI in Network and Mobile Security for Threat Detection and Prevention explores the role of AI in enhancing cybersecurity measures. It examines AI techniques in anomaly and intrusion detection, machine learning for malware analysis and detection, predictive analytics to cybersecurity scenarios, and ethical considerations in AI. This book covers topics such as ethics and law, machine learning, and data science, and is a useful resource for computer engineers, data scientists, security professionals, academicians, and researchers.
Machine Learning And Ai For Cybersecurity Enhancing Threat Detection And Response
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Author : SHANMUGAM MUTHU
language : en
Publisher: RK Publication
Release Date :
Machine Learning And Ai For Cybersecurity Enhancing Threat Detection And Response written by SHANMUGAM MUTHU and has been published by RK Publication this book supported file pdf, txt, epub, kindle and other format this book has been release on with Computers categories.
Machine Learning and AI for Cybersecurity: Enhancing Threat Detection and Response explores how cutting-edge artificial intelligence and machine learning technologies are revolutionizing cybersecurity. This book provides a comprehensive overview of AI-driven threat detection, behavior-based anomaly analysis, and automated incident response systems. Covering key techniques such as deep learning, natural language processing, and reinforcement learning, it highlights real-world applications in malware detection, intrusion prevention, and phishing defense. Designed for researchers, professionals, and students, the book bridges the gap between theory and practice, offering practical insights into deploying intelligent cybersecurity solutions in an increasingly complex digital landscape.
Demystifying Ai And Ml For Cyber Threat Intelligence
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Author : Ming Yang
language : en
Publisher: Springer
Release Date : 2025-07-01
Demystifying Ai And Ml For Cyber Threat Intelligence written by Ming Yang and has been published by Springer this book supported file pdf, txt, epub, kindle and other format this book has been release on 2025-07-01 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.
Protecting And Mitigating Against Cyber Threats
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Author : Sachi Nandan Mohanty
language : en
Publisher: John Wiley & Sons
Release Date : 2025-06-24
Protecting And Mitigating Against Cyber Threats written by Sachi Nandan Mohanty 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 2025-06-24 with Computers categories.
The book provides invaluable insights into the transformative role of AI and ML in security, offering essential strategies and real-world applications to effectively navigate the complex landscape of today’s cyber threats. Protecting and Mitigating Against Cyber Threats delves into the dynamic junction of artificial intelligence (AI) and machine learning (ML) within the domain of security solicitations. Through an exploration of the revolutionary possibilities of AI and ML technologies, this book seeks to disentangle the intricacies of today’s security concerns. There is a fundamental shift in the security soliciting landscape, driven by the extraordinary expansion of data and the constant evolution of cyber threat complexity. This shift calls for a novel strategy, and AI and ML show great promise for strengthening digital defenses. This volume offers a thorough examination, breaking down the concepts and real-world uses of this cutting-edge technology by integrating knowledge from cybersecurity, computer science, and related topics. It bridges the gap between theory and application by looking at real-world case studies and providing useful examples. Protecting and Mitigating Against Cyber Threats provides a roadmap for navigating the changing threat landscape by explaining the current state of AI and ML in security solicitations and projecting forthcoming developments, bringing readers through the unexplored realms of AI and ML applications in protecting digital ecosystems, as the need for efficient security solutions grows. It is a pertinent addition to the multi-disciplinary discussion influencing cybersecurity and digital resilience in the future. Readers will find in this book: Provides comprehensive coverage on various aspects of security solicitations, ranging from theoretical foundations to practical applications; Includes real-world case studies and examples to illustrate how AI and machine learning technologies are currently utilized in security solicitations; Explores and discusses emerging trends at the intersection of AI, machine learning, and security solicitations, including topics like threat detection, fraud prevention, risk analysis, and more; Highlights the growing importance of AI and machine learning in security contexts and discusses the demand for knowledge in this area. Audience Cybersecurity professionals, researchers, academics, industry professionals, technology enthusiasts, policymakers, and strategists interested in the dynamic intersection of artificial intelligence (AI), machine learning (ML), and cybersecurity.
Big Data Synergies With Ai And Machine Learning In Cybersecurity Unveiling Next Generation Defense Architectures For Intelligent Threat Resilience
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Author : Laxmana Murthy Karaka
language : en
Publisher: SADGURU PUBLICATIONS
Release Date :
Big Data Synergies With Ai And Machine Learning In Cybersecurity Unveiling Next Generation Defense Architectures For Intelligent Threat Resilience written by Laxmana Murthy Karaka and has been published by SADGURU PUBLICATIONS this book supported file pdf, txt, epub, kindle and other format this book has been release on with Computers categories.
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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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Applying Artificial Intelligence In Cybersecurity Analytics And Cyber Threat Detection
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Author : Shilpa Mahajan
language : en
Publisher: John Wiley & Sons
Release Date : 2024-04-02
Applying Artificial Intelligence In Cybersecurity Analytics And Cyber Threat Detection written by Shilpa Mahajan 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 2024-04-02 with Computers categories.
APPLYING ARTIFICIAL INTELLIGENCE IN CYBERSECURITY ANALYTICS AND CYBER THREAT DETECTION Comprehensive resource providing strategic defense mechanisms for malware, handling cybercrime, and identifying loopholes using artificial intelligence (AI) and machine learning (ML) Applying Artificial Intelligence in Cybersecurity Analytics and Cyber Threat Detection is a comprehensive look at state-of-the-art theory and practical guidelines pertaining to the subject, showcasing recent innovations, emerging trends, and concerns as well as applied challenges encountered, and solutions adopted in the fields of cybersecurity using analytics and machine learning. The text clearly explains theoretical aspects, framework, system architecture, analysis and design, implementation, validation, and tools and techniques of data science and machine learning to detect and prevent cyber threats. Using AI and ML approaches, the book offers strategic defense mechanisms for addressing malware, cybercrime, and system vulnerabilities. It also provides tools and techniques that can be applied by professional analysts to safely analyze, debug, and disassemble any malicious software they encounter. With contributions from qualified authors with significant experience in the field, Applying Artificial Intelligence in Cybersecurity Analytics and Cyber Threat Detection explores topics such as: Cybersecurity tools originating from computational statistics literature and pure mathematics, such as nonparametric probability density estimation, graph-based manifold learning, and topological data analysis Applications of AI to penetration testing, malware, data privacy, intrusion detection system (IDS), and social engineering How AI automation addresses various security challenges in daily workflows and how to perform automated analyses to proactively mitigate threats Offensive technologies grouped together and analyzed at a higher level from both an offensive and defensive standpoint Providing detailed coverage of a rapidly expanding field, Applying Artificial Intelligence in Cybersecurity Analytics and Cyber Threat Detection is an essential resource for a wide variety of researchers, scientists, and professionals involved in fields that intersect with cybersecurity, artificial intelligence, and machine learning.