Artificial intelligence in cybersecurity
use AI to protect your organization
- ISBN: 9781398624641
- Editorial: Kogan Page Ltd.
- Fecha de la edición: 2026
- Lugar de la edición: London. Reino Unido
- Encuadernación: Rústica
- Medidas: 24 cm
- Nº Pág.: 344
- Idiomas: Inglés
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 resilience
With 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
01: Introduction to artificial intelligence in cyber security;Chapter
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
