AI Meets Cybersecurity: The Future of Enterprise Defence

AI Meets Cybersecurity: The Future of Enterprise Defence is a comprehensive, academically structured textbook exploring the transformative intersection of Artificial Intelligence (AI) and modern enterprise cybersecurity. Authored by Bharathi Sesha Sai Varanasi, it examines how machine learning, intelligent threat detection, behavioural analytics, and automated security operations can strengthen organisational cyber defence.

Combining cybersecurity fundamentals with practical enterprise applications, the book also addresses adversarial AI, digital forensics, Zero Trust architecture, governance, and responsible technology adoption.

It will enable you to:

• Understand the evolution of enterprise cybersecurity and the growing importance of AI-enabled defence systems.

• Explore artificial intelligence, machine learning, deep learning, and their applications in cybersecurity.

• Analyse modern cyber threats, attacker techniques, vulnerabilities, and enterprise attack surfaces.

• Examine intelligent threat detection using machine learning algorithms, security analytics, and behavioural monitoring.

• Understand how natural language processing and generative AI support cybersecurity intelligence and investigations.

• Explore AI-assisted network protection, endpoint security, malware intelligence, and Zero Trust architecture.

• Learn the principles of security data engineering, threat intelligence, and predictive cyber defence.

• Examine AI-driven Security Operations Centres (SOCs), incident response, and digital forensic investigation.

• Identify adversarial AI threats, including data poisoning, model evasion, and prompt injection.

• Understand cybersecurity governance, ethical responsibilities, enterprise risk management, and regulatory compliance.

• Develop familiarity with enterprise AI security architectures, implementation planning, and operational performance assessment.

• Apply concepts through structured learning objectives, conceptual diagrams, comparison tables, practical exercises, and review questions.

Who should read?

• Undergraduate and postgraduate students studying cybersecurity, computer science, artificial intelligence, and information security.

• Cybersecurity professionals, security analysts, and Security Operations Centre personnel.

• AI engineers, machine learning practitioners, and data scientists interested in cybersecurity applications.

• Network security engineers, cloud security specialists, and enterprise security architects.

• Digital forensics practitioners, incident responders, and threat intelligence analysts.

• IT managers, cybersecurity leaders, risk management professionals, and governance teams.

• Researchers, educators, and academic professionals exploring intelligent cybersecurity systems.

• Professionals seeking a structured understanding of responsible AI implementation in enterprise