Ai Powered Security
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Modernizing The Food Industry Ai Powered Infrastructure Security And Supply Chain Innovation
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Author : Whig, Pawan
language : en
Publisher: IGI Global
Release Date : 2025-07-09
Modernizing The Food Industry Ai Powered Infrastructure Security And Supply Chain Innovation written by Whig, Pawan and has been published by IGI Global this book supported file pdf, txt, epub, kindle and other format this book has been release on 2025-07-09 with Technology & Engineering categories.
The food industry has changed immensely with the integration of AI. AI-powered technologies are streamlining operations and enhance food safety. Smart systems can now predict demand and optimize logistics in real time. As global supply chains become more intricate and consumer expectations rise, modernizing the food industry with AI is not only a competitive advantage but a necessary evolution for resilience, sustainability, and long-term growth. Modernizing the Food Industry: AI-Powered Infrastructure, Security, and Supply Chain Innovation explores how AI is transforming the food industry by enhancing infrastructure efficiency, strengthening food security, and optimizing supply chain operations. It examines cutting-edge technologies and real-world applications that drive innovation, sustainability, and resilience across the global food ecosystem. Covering topics such as automation, food traceability, and nutrition, this book is an excellent resource for food industry professionals, supply chain managers, technology innovators, AI researchers, policymakers, academicians, and more.
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 Powered Security
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Author : Alter Pérez
language : en
Publisher: Independently Published
Release Date : 2024-08-10
Ai Powered Security written by Alter Pérez and has been published by Independently Published this book supported file pdf, txt, epub, kindle and other format this book has been release on 2024-08-10 with Computers categories.
In an era where cyber threats are evolving at an unprecedented pace, "AI-Powered Security: The Future of Cyber Defense" by Alter Pérez emerges as a vital resource for cybersecurity professionals, IT managers, and tech enthusiasts alike. This comprehensive guide delves deep into the transformative power of artificial intelligence (AI) in revolutionizing the landscape of cyber defense. 1. Comprehensive Introduction to AI in Cybersecurity: The book begins with a thorough introduction to AI and its historical context, setting the stage for a detailed exploration of its application in cybersecurity. Pérez elucidates the evolution of AI, its core principles, and the significant milestones that have marked its journey into the cybersecurity domain. 2. In-Depth Analysis of the Cyber Threat Landscape: Understand the various types of cyber threats, from malware and phishing to advanced persistent threats (APTs) and ransomware. Pérez provides a detailed analysis of recent trends in cyber attacks and highlights the challenges posed by traditional cyber defense mechanisms. 3. Machine Learning Fundamentals: Dive into the basics of machine learning, including supervised, unsupervised, and reinforcement learning techniques. Learn how these AI methodologies are applied to enhance cybersecurity measures and protect against sophisticated cyber threats. 4. AI-Driven Threat Detection and Incident Response: Discover how AI-powered tools are revolutionizing threat detection systems like Intrusion Detection Systems (IDS) and Intrusion Prevention Systems (IPS). The book also covers AI's role in incident response, forensic analysis, and reducing response times, offering real-world case studies of successful implementations. 5. Network and Endpoint Security: Explore AI applications in network security, including securing Internet of Things (IoT) devices, cloud security solutions, and software-defined networking (SDN). Pérez also delves into AI-based antivirus and anti-malware solutions, endpoint detection and response (EDR), and protecting mobile and remote devices. 6. Advanced Topics in AI for Cybersecurity: Gain insights into AI-driven threat intelligence platforms, predictive analytics, and the integration of AI with existing threat feeds. Learn about the ethical and legal considerations, including data privacy, bias, and fairness in AI models. 7. Strategic Implementation and Future Directions: Get practical advice on integrating AI into cybersecurity infrastructure, choosing the right tools, training the security team, and measuring the effectiveness of AI solutions. Pérez also discusses the future of AI in cyber defense, emerging technologies, and the potential impact of quantum computing. About the Author Alter Pérez is a renowned cybersecurity expert with years of experience in developing and implementing advanced security solutions. His deep understanding of AI and its applications in cybersecurity has made him a sought-after speaker, consultant, and thought leader in the industry. Through this book, Pérez shares his extensive knowledge and insights, helping readers stay ahead of the curve in the dynamic field of cyber defense. Prepare to embark on a journey into the future of cybersecurity with "AI-Powered Security: The Future of Cyber Defense." This book is not just a guide; it is a roadmap to navigating the complex world of cyber threats using the cutting-edge capabilities of artificial intelligence. Equip yourself with the skills and knowledge to defend against the cyber threats of today and anticipate the challenges of tomorrow with the expert guidance of Alter Pérez.
Ai Future Fortunes Ai Powered Trends For Long Term Investors
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Author : Jeffery Long
language : en
Publisher: Jeffery William Long
Release Date : 2024-08-15
Ai Future Fortunes Ai Powered Trends For Long Term Investors written by Jeffery Long and has been published by Jeffery William Long this book supported file pdf, txt, epub, kindle and other format this book has been release on 2024-08-15 with Computers categories.
AI Future Fortunes: AI-Powered Trends for Long-Term Investors In the world of investing, staying ahead of the curve is crucial for long-term success. This is where AI-powered trend analysis comes into play. By harnessing the power of artificial intelligence, investors can gain valuable insights into market trends and make informed decisions that can lead to future fortunes. This subchapter will serve as an introduction to AI investing, exploring the benefits and potential pitfalls of utilizing AI technology in the world of finance.
Ai Powered Economy
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Author : Hebooks
language : en
Publisher: Hebooks
Release Date :
Ai Powered Economy written by Hebooks and has been published by Hebooks this book supported file pdf, txt, epub, kindle and other format this book has been release on with Antiques & Collectibles categories.
"AI-Powered Economy: How Artificial Intelligence Will Revolutionize The Economy" provides a compelling and insightful exploration of the transformative impact of artificial intelligence (AI) on the economic landscape. Delving into the potential applications of AI in finance, investment, banking, business operations, and corporate strategies, this book paints a vivid picture of a future where AI revolutionizes how we approach economic activities. Offering a balanced analysis of the challenges and opportunities presented by AI integration, it serves as an essential guide for those keen to understand the imminent shifts and leverage the potential of AI in shaping the economic future.
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.
Artificial Intelligence For Cyber Security And Industry 4 0
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Author : Dinesh Sharma
language : en
Publisher: CRC Press
Release Date : 2025-04-22
Artificial Intelligence For Cyber Security And Industry 4 0 written by Dinesh Sharma and has been published by CRC Press this book supported file pdf, txt, epub, kindle and other format this book has been release on 2025-04-22 with Computers categories.
Artificial Intelligence for Cyber Security and Industry 4.0 offers a comprehensive exploration of the intersection of artificial intelligence (AI) and cyber security, providing readers with a thorough understanding of both the advantages and risks posed by AI technologies in modern industries. Covering a wide array of topics, from data anonymization and intrusion detection to AI's role in cloud security, border surveillance, and healthcare, this book addresses current challenges and proposes innovative solutions. It also highlights ethical concerns related to AI's use in weapon autonomy and border migration. This book is ideal for researchers, industry professionals, policy makers, and students looking to deepen their knowledge of AI's impact on cyber security and its applications in the evolving landscape of Industry 4.0. Through practical insights and forward-thinking discussions, readers will gain a well-rounded perspective on how AI can be leveraged for security while being mindful of emerging risks. Key Features: Explores the dual role of AI in strengthening and threatening cyber security in the context of Industry 4.0 Provides an in-depth analysis of AI-driven cyber security techniques, including machine learning-based intrusion detection and data anonymization Investigates the malicious use of AI, addressing both expanded existing threats and the emergence of novel vulnerabilities Discusses advanced software design for privacy preservation in big data environments Covers the use of AI in specific security domains, such as border surveillance, healthcare, and the Internet of Things Highlights AI applications in cloud security, data integrity, and privacy protection Introduces Quantum Machine Learning algorithms and their relevance to cyber security Explores the ethical concerns surrounding AI technologies, particularly in the context of weapon autonomy and border migration Includes real-world scenarios and methodologies, bridging the gap between academic research and industry practice Offers forward-looking insights into the role of AI in future cyber security challenges and solutions
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.
Security Automation Explained
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Author : RAVI. RAJPUT
language : en
Publisher:
Release Date : 2025
Security Automation Explained written by RAVI. RAJPUT and has been published by this book supported file pdf, txt, epub, kindle and other format this book has been release on 2025 with categories.
Ensuring Secure And Ethical Stm Research In The Ai Era
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Author : Zangana, Hewa Majeed
language : en
Publisher: IGI Global
Release Date : 2025-05-14
Ensuring Secure And Ethical Stm Research In The Ai Era written by Zangana, Hewa Majeed and has been published by IGI Global this book supported file pdf, txt, epub, kindle and other format this book has been release on 2025-05-14 with Science categories.
As artificial intelligence (AI) is integrated into scientific, technical, and medical (STM) research, ensuring security and ethical standards becomes more critical. AI tools play a transformative role in data analysis and research methods, to peer reviews and publication, raising complex questions around data privacy, algorithmic bias, intellectual property, and research integrity. The rapid pace of innovation also introduces risks like the misuse of generative models, vulnerabilities in automated systems, and challenges in maintaining transparency and accountability. To navigate this landscape, a proactive approach is essential, combining governance frameworks, interdisciplinary collaboration, and ethical oversight. By prioritizing these elements, the scientific community can harness the full potential of AI while safeguarding integrity and societal trust in STM research. Ensuring Secure and Ethical STM Research in the AI Era explores the convergence of AI, ethics, and cybersecurity within the context of STM innovation. It examines addresses the secure and ethical deployment of AI in scientific research, development, and discovery. This book covers topics such as biomedicine, cloud technology, and data privacy, and is a useful resource for business owners, computer engineers, academicians, researchers, and scientists.