The rapid developments in AI mean that cyberattacks are becoming increasingly more complex and difficult to stop. Stay ahead by using AI to improve existing cybersecurity approaches and tackle these threats. Artificial Intelligence in Cybersecurity offers the latest techniques to protect digital assets in an increasingly interconnected world. As cyber threats grow in frequency and scale, every organization must take advantage of the unparalleled benefits that AI technologies can offer. AI's ability to detect, prevent and respond to threats more effectively is essential to ensuring an…mehr
The rapid developments in AI mean that cyberattacks are becoming increasingly more complex and difficult to stop. Stay ahead by using AI to improve existing cybersecurity approaches and tackle these threats. Artificial Intelligence in Cybersecurity offers the latest techniques to protect digital assets in an increasingly interconnected world. As cyber threats grow in frequency and scale, every organization must take advantage of the unparalleled benefits that AI technologies can offer. AI's ability to detect, prevent and respond to threats more effectively is essential to ensuring an organization continues to thrive. Starting with the fundamentals of AI, this book covers how to use AI in intrusion detection systems, threat intelligence and predictive analytics. With coverage of threat detection, anomaly detection, behaviour analysis and endpoint security, Senior to mid-career cybersecurity professionals will gain an understanding of how AI can empower and transform their strategies. This book shows how organizations can build an effective plan to confront the sophisticated attacks they may encounter. Covering pattern recognition, malware analysis and phishing, this book provides valuable strategies and practical guidance along with checklists and algorithms to improve defences, manage risks and protect digital assets.
Lisa Ventura is a cybersecurity expert who is the founder of Cyber Security Unity which brings organizations and individuals together to confront cyber threats. She partners with cybersecurity leaders to help them work more effectively on the human element of cybersecurity, AI, neurodiversity and diversity and inclusion in the industry. She regularly provides cybersecurity awareness and culture training courses for organizations of all sizes. She received an MBE for her services to cybersecurity and diversity/inclusion in 2023. She is based in Worcester, UK.
Inhaltsangabe
Section ONE: The Rise of AI Chapter 01: Introduction to Artificial Intelligence in Cyber Security Chapter 02: Fundamentals of Machine Learning and Deep Learning for Cyber Security Chapter 03: AI Applications in Intrusion Detection Systems Chapter 04: Behavioural Analysis and Anomaly Detection Techniques Chapter 05: Natural Language Processing for Threat Intelligence Chapter 06: AI Driven Malware Detection and Classification Chapter 07: Predictive Analytics and Risk Assessment in Cyber Security Chapter 08: Autonomous Response Systems and Adaptive Security Chapter 09: AI Powered Security Operations Centres (SOCs) Chapter 10: Ethical and Regulatory Considerations in AI Cyber Security Applications Chapter 11: Future Trends and Emerging Technologies in AI Cyber Security Section TWO: Leveraging AI in Cyber Security Chapter 01: Understanding the Cyber Threat Landscape: Challenges and Risks Chapter 02: Leveraging Artificial Intelligence for Proactive Threat Detection Chapter 03: Implementing AI Driven Network Security Solutions Chapter 04: Enhancing Endpoint Security with Machine Learning Algorithms Chapter 05: Harnessing AI for Identity and Access Management Chapter 06: Utilizing Predictive Analytics for Vulnerability Management Chapter 07: Building Resilient Security Infrastructures with AI Chapter 08: Integrating AI Powered Security Orchestration and Automation Chapter 09: Securing Cloud Environments with AI Based Solutions Chapter 10: Continuous Monitoring and Response Using AI Driven Technologies Chapter 11: Training and Upskilling the Workforce for AI Enabled Cyber Security Chapter 12: Evaluating ROI and Effectiveness of AI Based Defence Strategies
Section ONE: The Rise of AI Chapter 01: Introduction to Artificial Intelligence in Cyber Security Chapter 02: Fundamentals of Machine Learning and Deep Learning for Cyber Security Chapter 03: AI Applications in Intrusion Detection Systems Chapter 04: Behavioural Analysis and Anomaly Detection Techniques Chapter 05: Natural Language Processing for Threat Intelligence Chapter 06: AI Driven Malware Detection and Classification Chapter 07: Predictive Analytics and Risk Assessment in Cyber Security Chapter 08: Autonomous Response Systems and Adaptive Security Chapter 09: AI Powered Security Operations Centres (SOCs) Chapter 10: Ethical and Regulatory Considerations in AI Cyber Security Applications Chapter 11: Future Trends and Emerging Technologies in AI Cyber Security Section TWO: Leveraging AI in Cyber Security Chapter 01: Understanding the Cyber Threat Landscape: Challenges and Risks Chapter 02: Leveraging Artificial Intelligence for Proactive Threat Detection Chapter 03: Implementing AI Driven Network Security Solutions Chapter 04: Enhancing Endpoint Security with Machine Learning Algorithms Chapter 05: Harnessing AI for Identity and Access Management Chapter 06: Utilizing Predictive Analytics for Vulnerability Management Chapter 07: Building Resilient Security Infrastructures with AI Chapter 08: Integrating AI Powered Security Orchestration and Automation Chapter 09: Securing Cloud Environments with AI Based Solutions Chapter 10: Continuous Monitoring and Response Using AI Driven Technologies Chapter 11: Training and Upskilling the Workforce for AI Enabled Cyber Security Chapter 12: Evaluating ROI and Effectiveness of AI Based Defence Strategies
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