Ai Driven Cybersecurity
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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.
6g Networks And Ai Driven Cybersecurity
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Author : Shaikh, Riaz Ahmed
language : en
Publisher: IGI Global
Release Date : 2025-07-23
6g Networks And Ai Driven Cybersecurity written by Shaikh, Riaz Ahmed and has been published by IGI Global this book supported file pdf, txt, epub, kindle and other format this book has been release on 2025-07-23 with Computers categories.
The most recent developments in 6G networks combined with artificial intelligence (AI) might be utilized to improve cybersecurity. While AI provides solutions to various problems in cybersecurity, it also introduces challenges in data privacy. It is important to explore the development of AI-driven security solutions to keep up-to-date and stimulate further innovation in the field of cybersecurity. Future trends and innovations should be examined as 6G networks continue to develop. 6G Networks and AI-Driven Cybersecurity provides insights into the convergence of 6G, AI, and cybersecurity. It bridges the gap between theoretical research and practical applications, promoting collaboration between academia and industry through connecting theoretical research with practical applications. Covering topics such as threat response, decision making, and machine-to-machine communication, this book is an excellent resource for cybersecurity practitioners, computer scientists, industry professionals, policymakers, professionals, researchers, academicians, and more.
Ai Driven Cybersecurity Insurance Innovations In Risk Governance And Digital Resilience
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Author : Alawida, Moatsum
language : en
Publisher: IGI Global
Release Date : 2025-07-31
Ai Driven Cybersecurity Insurance Innovations In Risk Governance And Digital Resilience written by Alawida, Moatsum and has been published by IGI Global this book supported file pdf, txt, epub, kindle and other format this book has been release on 2025-07-31 with Computers categories.
AI-driven cybersecurity insurance represents a transformation of technology, risk management, and organizational governance. As cyber threats become more sophisticated, traditional models of cybersecurity struggle when handling the scale and complexity of online threats. AI offers tools for real-time threat detection, predictive analytics, and automated response, reshaping how insurers assess risk, price policies, and support resilience. The integration of AI into cybersecurity insurance raises questions about accountability, transparency, and ethical governance. Exploring these innovations may reveal new possibilities for protecting digital assets and the need for robust frameworks to ensure responsible and equitable usage of AI technologies. AI-Driven Cybersecurity Insurance: Innovations in Risk, Governance, and Digital Resilience explores the integration of intelligent technologies and cybersecurity into financial practices. It examines the use of AI-empowered cybersecurity for risk management, business governance, and digital solutions. This book covers topics such as fraud detection, supply chains, and metaverse, and is a useful resource for business owners, computer engineers, policymakers, academicians, researchers, and data scientists.
Ai Driven Cybersecurity And Threat Intelligence
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Author : Iqbal H. Sarker
language : en
Publisher: Springer
Release Date : 2024-04-14
Ai Driven Cybersecurity And Threat Intelligence written by Iqbal H. Sarker and has been published by Springer this book supported file pdf, txt, epub, kindle and other format this book has been release on 2024-04-14 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 use of 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.
Cloud Guardians Ai Driven Cybersecurity In The Cloud Era
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Author : Amit Goswami
language : en
Publisher: JEC PUBLICATION
Release Date :
Cloud Guardians Ai Driven Cybersecurity In The Cloud Era written by Amit Goswami 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 Computers 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.
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 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 defense, 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 defenses in a world where digital security is paramount.
Understanding Ai In Cybersecurity And Secure Ai
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Author : Dilli Prasad Sharma
language : en
Publisher: Springer Nature
Release Date : 2025-05-26
Understanding Ai In Cybersecurity And Secure Ai written by Dilli Prasad Sharma and has been published by Springer Nature this book supported file pdf, txt, epub, kindle and other format this book has been release on 2025-05-26 with Business & Economics categories.
This book presents an overview of the emerging topics in Artificial Intelligence (AI) and cybersecurity and addresses the latest AI models that could be potentially applied to a range of cybersecurity areas. Furthermore, it provides different techniques of how to make the AI algorithms secure from adversarial attacks. The book presents the cyber threat landscape and explains the various spectrums of AI and the applications and limitations of AI in cybersecurity. Moreover, it explores the applications and limitations of secure AI. The authors discuss the three categories of machine learning (ML) models and reviews cutting-edge recent Deep Learning (DL) models. Furthermore, the book provides a general AI framework in security as well as different modules of the framework; similarly, chapter four proposes a general framework for secure AI. It explains different aspects of network security including malware and attacks. The book also includes a comprehensive study of various scopes of application security; categorised into three groups of smartphone, web application, and desktop application and delves into the concepts of cloud security. The authors discuss state-of-the-art Internet of Things (IoT) security and describe various challenges of AI for cybersecurity, such as data diversity, model customising, explainability, and time complexity and includes some future work. They provide a comprehensive understanding of adversarial machine learning including the up-to-date adversarial attacks and defences. The book finishes off with a discussion of the challenges and future work in secure AI. Overall, this book covers applications of AI models to various fields of cybersecurity and appeals not only to an scholarly audience but also to professionals wanting to learn more about the new developments in these areas.
Machine Minds Malicious Motives The Rise Of Ai Driven Cyber Threats
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Author : Mr. Sandeep Dommari, Dr. Arpit Jain
language : en
Publisher: RAVEENA PRAKASHAN OPC PVT LTD
Release Date :
Machine Minds Malicious Motives The Rise Of Ai Driven Cyber Threats written by Mr. Sandeep Dommari, Dr. Arpit Jain and has been published by RAVEENA PRAKASHAN OPC PVT LTD this book supported file pdf, txt, epub, kindle and other format this book has been release on with True Crime categories.
PREFACE In AI and cybersecurity, we do not fear failure; instead, we focus on achieving the ultimate goal. Building effective cyber defenses is a marathon of minds, not a sprint for perfection. In research, every failed model brings us one step closer to mastery. -Sandeep Dommari The advent of Artificial Intelligence (AI) has transformed numerous industries, revolutionizing fields from healthcare to finance to marketing. While AI’s potential to drive innovation and efficiency is unparalleled, it has also introduced a new and more sophisticated class of threats in cybersecurity. AI’s power is not limited to problem-solving; it has also enabled malicious actors to develop advanced, efficient, and adaptive cyberattacks. These AI-driven threats present significant challenges for businesses, governments, and individuals, as they become increasingly difficult to detect, defend against, and mitigate. In this book, “Machine Minds, Malicious Motives: The Rise of AI-Driven Cyber Threats,” we explore the intersection of artificial intelligence and cybersecurity, an area that is both exciting and deeply concerning. AI has empowered cybercriminals to automate attacks at an unprecedented scale, allowing them to exploit vulnerabilities in systems, networks, and data in ways that were once unimaginable. Traditional cybersecurity defenses, which often rely on static, rule-based systems, are ill-equipped to deal with the adaptive, self-learning capabilities of AI-driven threats. As AI evolves, so does the sophistication of cyber adversaries’ methods, making it increasingly challenging to protect sensitive data and critical infrastructure. The rise of AI-powered cyberattacks marks a new chapter in the ongoing arms race between attackers and defenders. Malicious actors now use AI to create dynamic, self-learning malware capable of bypassing traditional security measures, manipulating data, and generating deepfakes for misinformation campaigns. AI has also been harnessed for social engineering attacks, enabling attackers to mimic human behavior, predict victim responses, and optimize the timing and method of attacks with incredible precision.From AI-enhanced phishing schemes to autonomous ransomware, these advanced threats pose new risks to businesses, governments, and individuals, demanding a fresh approach to cybersecurity. At the heart of this challenge is the dual-use nature of AI.While AI can be a powerful force for good, it is equally capable of being weaponized for malicious purposes. The same technologies that enable businesses to innovate and improve efficiency can also be leveraged by cybercriminals to exploit vulnerabilities and undermine trust in digital systems. This book provides an in-depth exploration of the various ways in which AI is being used to launch cyberattacks, from AI-assisted hacking tools to the manipulation of machine learning algorithms in supply chains. It also examines the ethical implications of these developments, as well as the steps that need to be taken to address the cybersecurity arms race between AI-driven threats and defensive technologies. While the risks associated with AI-driven cyber threats are significant, they are not insurmountable. Throughout the book, we also discuss how defenders from cybersecurity professionals to governments to tech companies are leveraging AI to combat these threats. The same AI technologies that empower attackers can also be used to strengthen defenses, improve threat detection, and accelerate response to attacks. AI-powered security systems can identify anomalies, detect malicious activity, and adapt to new and evolving threats in real time. The book highlights the opportunities for AI to bolster cybersecurity while also addressing the ongoing challenges that arise in the quest to stay one step ahead of cybercriminals. As we move forward in the age of AI, it is critical for individuals, organizations, and policymakers to understand both the opportunities and dangers posed by AI in cybersecurity. This book aims to provide a comprehensive overview of the current landscape of AI-driven cyber threats, innovative defense mechanisms being developed, and the ethical considerations surrounding the use of AI in both offensive and defensive cyber operations. It is not just a technical exploration but also a call to action for more proactive, collaborative efforts to build a secure digital future for all. The challenges discussed in this book are not solely the responsibility of cybersecurity professionals but of all stakeholders in the digital ecosystem. Governments must establish policies that balance innovation with safety, while businesses must prioritize cyber resilience and invest in AI-powered security tools that can defend against the growing wave of AI-driven threats. Through awareness, innovation, and collaboration, we can mitigate the risks posed by AI-powered cyberattacks and harness the power of AI to create a safer and more secure digital world. Machine Minds, Malicious Motives serves as both a warning and a guide, urging readers to take the growing threat of AI-driven cyberattacks seriously while exploring the ways in which we can adapt, defend, and innovate in this new technological frontier. As AI continues to evolve, so too must our approach to securing the digital systems and data that power our modern world. The journey ahead will be challenging, but it is also an opportunity to shape a future where AI can be harnessed for the greater good while minimizing its potential for harm. Authors Mr. Sandeep Dommari Dr. Arpit Jain