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.
Sprache
Verlagsort
Zielgruppe
Für höhere Schule und Studium
Für Beruf und Forschung
Produkt-Hinweis
Maße
Höhe: 234 mm
Breite: 156 mm
ISBN-13
978-1-3986-2466-5 (9781398624665)
Copyright in bibliographic data and cover images is held by Nielsen Book Services Limited or by the publishers or by their respective licensors: all rights reserved.
Schweitzer Klassifikation
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.
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
