Artificial Intelligence in Cybersecurity

Nyhet

Use AI to Protect Your Organization

Inbunden, Engelska, 2026

879 kr

Kommande

Strengthen AI-enabled cyber resilience and deliver informed, data-led security decisions across your organization.Artificial Intelligence in Cybersecurity gives senior cybersecurity professionals the proven tools to navigate escalating AI-driven threats and reinforce defensive capability. As attacks grow more complex, this book shows how to apply AI strategically to protect critical assets, strengthen oversight and improve ROI from your security investments.Written by cybersecurity expert Lisa Ventura MBE, this executive guide explains how AI can elevate detection, prevention and response.You'll learn how to:- Deploy AI to enhance threat intelligence, anomaly detection and behavioural analysis- Build AI-enabled intrusion and endpoint security strategies that deliver measurable results- Integrate predictive analytics to anticipate attacks and optimize resource allocation- Use strategic models, checklists and proven frameworks to increase organizational resilienceWith actionable tools and insights into emerging AI trends, this book enables security leaders to stay ahead of sophisticated adversaries and deliver stronger cyber outcomes.Themes include: AI security strategy, threat intelligence, predictive analytics, governance, cyber resilience

Produktinformation

Utgivningsdatum2026-04-03
Mått156 x 234 x undefined mm
FormatInbunden
SpråkEngelska
Antal sidor296
FörlagKogan Page Ltd
ISBN9781398624665

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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 AIChapter - 01: Introduction to Artificial Intelligence in Cyber SecurityChapter - 02: Fundamentals of Machine Learning and Deep Learning for Cyber SecurityChapter - 03: AI Applications in Intrusion Detection SystemsChapter - 04: Behavioural Analysis and Anomaly Detection TechniquesChapter - 05: Natural Language Processing for Threat IntelligenceChapter - 06: AI-Driven Malware Detection and ClassificationChapter - 07: Predictive Analytics and Risk Assessment in Cyber SecurityChapter - 08: Autonomous Response Systems and Adaptive SecurityChapter - 09: AI-Powered Security Operations Centres (SOCs)Chapter - 10: Ethical and Regulatory Considerations in AI Cyber Security ApplicationsChapter - 11: Future Trends and Emerging Technologies in AI Cyber SecuritySection - TWO: Leveraging AI in Cyber SecurityChapter - 01: Understanding the Cyber Threat Landscape: Challenges and RisksChapter - 02: Leveraging Artificial Intelligence for Proactive Threat DetectionChapter - 03: Implementing AI-Driven Network Security SolutionsChapter - 04: Enhancing Endpoint Security with Machine Learning AlgorithmsChapter - 05: Harnessing AI for Identity and Access ManagementChapter - 06: Utilizing Predictive Analytics for Vulnerability ManagementChapter - 07: Building Resilient Security Infrastructures with AIChapter - 08: Integrating AI-Powered Security Orchestration and AutomationChapter - 09: Securing Cloud Environments with AI-Based SolutionsChapter - 10: Continuous Monitoring and Response Using AI-Driven TechnologiesChapter - 11: Training and Upskilling the Workforce for AI-Enabled Cyber SecurityChapter - 12: Evaluating ROI and Effectiveness of AI-Based Defence Strategies