Improving Threat Detection Network Security And Incident Response With Ai
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Improving Threat Detection Network Security And Incident Response With Ai
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Author : Lutfi, Abdalwali
language : en
Publisher: IGI Global
Release Date : 2025-07-03
Improving Threat Detection Network Security And Incident Response With Ai written by Lutfi, Abdalwali and has been published by IGI Global this book supported file pdf, txt, epub, kindle and other format this book has been release on 2025-07-03 with Computers categories.
Artificial intelligence (AI) strengthens cybersecurity by enhancing threat detection, fortifying network security, and streamlining incident response. Traditional security systems often struggle to manage modern cyber threats. AI addresses this challenge by analyzing data in real-time, identifying patterns and anomalies that may indicate malicious activity. Machine learning algorithms detect attacks and threats faster than humans, allowing organizations to respond proactively. In network security, AI helps in monitoring traffic, predicting vulnerabilities, and automatically implementing protective measures. AI-driven incident response tools assess the breaches, contain threats, and initiate recovery protocols. As cyber threats evolve, integrating AI into security infrastructure is essential for maintaining resilience in the digital age. Improving Threat Detection, Network Security, and Incident Response With AI explores the role of AI in cybersecurity, focusing on its applications in threat detection, malware analysis, network security, and incident response. It examines key AI techniques such as machine learning, deep learning, and natural language processing (NLP) that are transforming cybersecurity operations. This book covers topics such as robotics, software engineering, and behavioral analysis, and is a useful resource for computer engineers, security professionals, academicians, researchers, and data scientists.
The Ai Renaissance Innovations Ethics And The Future Of Intelligent Systems
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Author : Jagdish Jangid
language : en
Publisher: Jagdish Jangid & Sachin Dixit
Release Date : 2023-12-01
The Ai Renaissance Innovations Ethics And The Future Of Intelligent Systems written by Jagdish Jangid and has been published by Jagdish Jangid & Sachin Dixit this book supported file pdf, txt, epub, kindle and other format this book has been release on 2023-12-01 with Education categories.
In this comprehensive exploration of Artificial Intelligence, The AI Renaissance: Innovations, Ethics, and the Future of Intelligent Systems takes readers on a captivating journey through the foundations, applications, and ethical dimensions of this groundbreaking technology. Divided into three insightful parts, the book begins with a deep dive into the evolution of AI, from early symbolic intelligence to the rise of deep learning, and examines the intersection of neuroscience and artificial general intelligence (AGI). Part two highlights AI’s transformative role across various industries, from fintech to cybersecurity. Explore how AI is revolutionizing finance through fraud detection, automated trading, and personalized financial services. Dive into the world of computer networking, where AI is optimizing connectivity, enhancing predictive maintenance, and enabling ultra-fast 5G networks. Learn how AI is strengthening cybersecurity defenses with cutting-edge threat detection, automated responses, and advanced security policies. The final section delves into the critical discussions surrounding AI’s ethical, social, and philosophical challenges, such as algorithmic bias, human-AI collaboration, and the potential future of AGI. With speculation on the role of quantum computing and the ethical landscape ahead, this book offers a thorough, thought-provoking analysis of how AI will shape our world in the years to come. Ideal for anyone interested in understanding the current state and future potential of AI, this Book is a must-read for technology enthusiasts, industry professionals, and thinkers concerned with the intersection of innovation and ethics.
Artificial Intelligence Enabled Security For Healthcare Systems
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Author : Sunil Gupta
language : en
Publisher: Springer Nature
Release Date : 2025-03-01
Artificial Intelligence Enabled Security For Healthcare Systems written by Sunil Gupta and has been published by Springer Nature this book supported file pdf, txt, epub, kindle and other format this book has been release on 2025-03-01 with Medical categories.
The book "AI-Enabled Healthcare Security: Safeguarding Patient Data and Improving Outcomes" focuses on the role of artificial intelligence in enhancing healthcare security and improving patient outcomes. It covers the challenges and risks associated with cybersecurity threats in the healthcare industry and explores the use of AI-based cybersecurity solutions, machine learning algorithms, and predictive analytics to mitigate those risks. The book is intended for healthcare professionals, cybersecurity experts, AI practitioners, and anyone interested in the intersection of healthcare, cybersecurity, and AI. It also highlights emerging technologies and future trends in AI and healthcare security.
Data Driven Cybersecurity
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Author : Mariano Mattei
language : en
Publisher: Simon and Schuster
Release Date : 2025-09-09
Data Driven Cybersecurity written by Mariano Mattei and has been published by Simon and Schuster this book supported file pdf, txt, epub, kindle and other format this book has been release on 2025-09-09 with Computers categories.
Measure, improve, and communicate the value of your security program. Every business decision should be driven by data—and cyber security is no exception. In Data-Driven Cybersecurity, you'll master the art and science of quantifiable cybersecurity, learning to harness data for enhanced threat detection, response, and mitigation. You’ll turn raw data into meaningful intelligence, better evaluate the performance of your security teams, and proactively address the vulnerabilities revealed by the numbers. Data-Driven Cybersecurity will teach you how to: • Align a metrics program with organizational goals • Design real-time threat detection dashboards • Predictive cybersecurity using AI and machine learning • Data-driven incident response • Apply the ATLAS methodology to reduce alert fatigue • Create compelling metric visualizations Data-Driven Cybersecurity teaches you to implement effective, data-driven cybersecurity practices—including utilizing AI and machine learning for detection and prediction. Throughout, the book presents security as a core part of organizational strategy, helping you align cyber security with broader business objectives. If you’re a CISO or security manager, you’ll find the methods for communicating metrics to non-technical stakeholders invaluable. Foreword by Joseph Steinberg. About the technology A data-focused approach to cybersecurity uses metrics, analytics, and automation to detect threats earlier, respond faster, and align security with business goals. About the book Data-Driven Cybersecurity shows you how to turn complex security metrics into evidence-based security practices. You’ll learn to define meaningful KPIs, communicate risk to stakeholders, and turn complex data into clear action. You’ll begin by answering the important questions: what makes a “good” security metric? How can I align security with broader business objectives? What makes a robust data-driven security management program? Python scripts and Jupyter notebooks make collecting security data easy and help build a real-time threat detection dashboards. You’ll even see how AI and machine learning can proactively predict cybersecurity incidents! What's inside • Improve your alert system using the ATLAS framework • Elevate your organization’s security posture • Statistical and ML techniques for threat detection • Executive buy-in and strategic investment About the reader For readers familiar with the basics of cybersecurity and data analysis. About the author Mariano Mattei is a professor at Temple University and an information security professional with over 30 years of experience in cybersecurity and AI innovation. Table of Contents Part 1 Building the foundation 1 Introducing cybersecurity metrics 2 Cybersecurity analytics toolkit 3 Implementing a security metrics program 4 Integrating metrics into business strategy Part 2 The metrics that matter 5 Establishing the foundation 6 Foundations of cyber risk 7 Protecting your assets 8 Continuous threat detection 9 Incident management and recovery Part 3 Beyond the basics: Advanced analytics, machine learning and AI 10 Advanced cybersecurity metrics 11 Advanced statistical analysis 12 Advanced machine learning analysis 13 Generative AI in cybersecurity metrics Get a free eBook (PDF or ePub) from Manning as well as access to the online liveBook format (and its AI assistant that will answer your questions in any language) when you purchase the print book.
Smart Systems Engineering And Managing Information For Future Success
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Author : Shubham Mahajan
language : en
Publisher: Springer Nature
Release Date : 2025-02-24
Smart Systems Engineering And Managing Information For Future Success written by Shubham Mahajan and has been published by Springer Nature this book supported file pdf, txt, epub, kindle and other format this book has been release on 2025-02-24 with Computers categories.
In an era where technology is rapidly advancing, Smart Systems: Engineering and Managing Information for Future Success offers a comprehensive exploration of cutting-edge technologies that are reshaping industries and societies. This book delves into the integration of Artificial Intelligence (AI), Internet of Things (IoT), cloud computing, and advanced data analytics to create smarter systems that drive innovation and efficiency across various sectors.
Security Automation With Python
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Author : Corey Charles Sr.
language : en
Publisher: Packt Publishing Ltd
Release Date : 2025-02-07
Security Automation With Python written by Corey Charles Sr. and has been published by Packt Publishing Ltd this book supported file pdf, txt, epub, kindle and other format this book has been release on 2025-02-07 with Computers categories.
Automate vulnerability scanning, network monitoring, and web application security using Python scripts, while exploring real-world case studies and emerging trends like AI and ML in security automation Key Features Gain future-focused insights into using machine learning and AI for automating threat detection and response Get a thorough understanding of Python essentials, tailored for security professionals Discover real-world applications of Python automation for enhanced security Purchase of the print or Kindle book includes a free PDF eBook Book DescriptionDesigned to address the most common pain point for security teams—scalability—Security Automation with Python leverages the author’s years of experience in vulnerability management to provide you with actionable guidance on automating security workflows to streamline your operations and improve your organization’s overall security posture. What makes this book stand out is its hands-on approach. You won’t just learn theoretical concepts—you’ll apply Python-based automation techniques directly to real-world scenarios. Whether you're automating vulnerability scans, managing firewall rules, or responding to security incidents, this book provides clear examples and use cases, breaking down complex topics into easily digestible steps. With libraries like Paramiko, Requests, and PyAutoGUI, you’ll automate everything from network scanning and threat intelligence gathering to system patching and alert management. Plus, this book focuses heavily on practical tips for error handling, scaling automation workflows, and integrating Python scripts into larger security infrastructures. By the end of this book, you'll have developed a set of highly valuable skills, from creating custom automation scripts to deploying them in production environments, and completed projects that can be immediately put to use in your organization.What you will learn Use Python libraries to automate vulnerability scans and generate detailed reports Integrate Python with security tools like Nessus to streamline SecOps Write custom Python scripts to perform security-related tasks Automate patch management to reduce the risk of security breaches Enhance threat intelligence gathering and improve your proactive defense strategies Scale security automation workflows for large environments Implement best practices for error handling, logging, and optimizing workflows Incorporate automation into security frameworks like NIST 800-53 and FedRAMP Who this book is for This book is for cybersecurity professionals, security analysts, system administrators, and developers looking to leverage Python to automate and enhance their security operations. Whether you're new to Python or experienced in scripting, the book provides practical examples, real-world case studies, and future-focused insights into security automation trends.
Integrating Artificial Intelligence In Cybersecurity And Forensic Practices
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Author : Omar, Marwan
language : en
Publisher: IGI Global
Release Date : 2024-12-06
Integrating Artificial Intelligence In Cybersecurity And Forensic Practices written by Omar, Marwan and has been published by IGI Global this book supported file pdf, txt, epub, kindle and other format this book has been release on 2024-12-06 with Computers categories.
The exponential rise in digital transformation has brought unprecedented advances and complexities in cybersecurity and forensic practices. As cyber threats become increasingly sophisticated, traditional security measures alone are no longer sufficient to counter the dynamic landscape of cyber-attacks, data breaches, and digital fraud. The emergence of Artificial Intelligence (AI) has introduced powerful tools to enhance detection, response, and prevention capabilities in cybersecurity, providing a proactive approach to identifying potential threats and securing digital environments. In parallel, AI is transforming digital forensic practices by automating evidence collection, enhancing data analysis accuracy, and enabling faster incident response times. From anomaly detection and pattern recognition to predictive modeling, AI applications in cybersecurity and forensics hold immense promise for creating robust, adaptive defenses and ensuring timely investigation of cyber incidents. Integrating Artificial Intelligence in Cybersecurity and Forensic Practices explores the evolving role of AI in cybersecurity and forensic science. It delves into key AI techniques, discussing their applications, benefits, and challenges in tackling modern cyber threats and forensic investigations. Covering topics such as automation, deep neural networks, and traffic analysis, this book is an excellent resource for professionals, researchers, students, IT security managers, threat analysts, digital forensic investigators, and more.
Deep Learning Innovations For Securing Critical Infrastructures
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Author : Kumar, Rajeev
language : en
Publisher: IGI Global
Release Date : 2025-04-18
Deep Learning Innovations For Securing Critical Infrastructures written by Kumar, Rajeev and has been published by IGI Global this book supported file pdf, txt, epub, kindle and other format this book has been release on 2025-04-18 with Computers categories.
Deep learning innovations play a crucial role in securing critical infrastructures, offering advanced solutions to protect vital systems from sophisticated cyber threats. By leveraging neural networks and advanced algorithms, deep learning enables real-time anomaly detection, pattern recognition, and predictive threat analysis, which are essential for safeguarding critical sectors such as energy, transportation, healthcare, and finance. These technologies can identify vulnerabilities, respond to breaches, and adapt to new attacks, providing a strong defense against cyber risks. As the digital landscape becomes more interconnected, the integration of deep learning into cybersecurity strategies will enhance resilience while ensuring the safe operation of essential services. Deep Learning Innovations for Securing Critical Infrastructures explores the cutting-edge integration of neural networks and artificial intelligence (AI) in modern cybersecurity systems. It examines how AI, particularly neural network models, is revolutionizing cybersecurity by automating threat detection, analyzing complex data patterns, and implementing proactive defense mechanisms. This book covers topics such as blockchain, cloud computing, and event management, and is a useful resource for business owners, computer engineers, data scientists, academicians, and researchers.
Artificial Intelligence Is Here To Stay You Better Learn It Now
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Author : Patience Fuzane
language : en
Publisher: Mr. Patience Fuzane
Release Date :
Artificial Intelligence Is Here To Stay You Better Learn It Now written by Patience Fuzane and has been published by Mr. Patience Fuzane this book supported file pdf, txt, epub, kindle and other format this book has been release on with Computers categories.
Artificial Intelligence (AI) is no longer just a futuristic concept; it is here, and it is transforming the way we live, work, and interact. If you are not actively harnessing the power of AI, you risk being left behind in an increasingly competitive and fast-paced world. Just like the calculator revolutionized the way we perform basic arithmetic, AI is now stepping in to revolutionize a wide array of fields—academic, business, and social. When the calculator was first introduced, many feared it would take away jobs and diminish mental faculties. But over time, we have come to view it as an indispensable tool, one that saves us time and allows us to focus on more complex tasks. In much the same way, AI is poised to become an essential part of our daily lives, yet its potential goes far beyond what a calculator ever offered. From automating mundane tasks to solving complex problems, AI has the power to revolutionize virtually every aspect of our existence. As we move forward, it is crucial to embrace these technological advancements and learn how to effectively incorporate them into our routines. This book is a comprehensive guide to understanding and utilizing some of the most widely used AI tools available today. Across the following chapters, I will take you on a deep dive into AI solutions across various categories, including generative AI, productivity tools, coding assistants, design tools, data analysis, and more. Whether you're a student, a business owner, or simply someone curious about how AI can improve your life, this book is designed to help you navigate and leverage these powerful technologies to meet your academic, professional, and social needs.
Zero Trust Ai The Convergence Of Machine Learning And Cybersecurity
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Author : Hariprasad Sivaraman
language : en
Publisher: Libertatem Media Private Limited
Release Date : 2025-03-13
Zero Trust Ai The Convergence Of Machine Learning And Cybersecurity written by Hariprasad Sivaraman and has been published by Libertatem Media Private Limited this book supported file pdf, txt, epub, kindle and other format this book has been release on 2025-03-13 with Computers categories.
In an era where cyber threats evolve with unprecedented sophistication, Zero Trust AI: The Convergence of Machine Learning and Cybersecurity provides an essential guide to fortifying digital infrastructures through AI-powered Zero Trust frameworks. This comprehensive book explores the transformative integration of Zero Trust Architecture (ZTA) and Artificial Intelligence (AI), offering a roadmap for organizations seeking to secure their digital assets beyond traditional perimeter-based defenses. Dive deep into cutting-edge AI applications in threat detection, continuous authentication, and anomaly-based risk management. Learn how machine learning enhances Zero Trust models by enabling real-time policy enforcement, behavioral analytics, and automated security response. Explore practical implementations, case studies, and future trends, including adversarial AI challenges and federated learning approaches that shape the future of cybersecurity. Whether you are a cybersecurity professional, AI researcher, or policymaker, Zero Trust AI equips you with the knowledge to harness AI for building resilient, adaptive, and intelligent security ecosystems. Stay ahead in the evolving digital landscape with expert insights and actionable strategies that redefine cybersecurity paradigms.