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Guide to AI for cybersecurity emerging technologies, ethics, and societal impact Muthu Ramachandran
Springer Nature - Springer Computer Science eBooks 2026 English International Available online
View online- Format:
- Book
- Author/Creator:
- Ramachandran, Muthu, author.
- Series:
- Texts in computer science
- Texts in computer science 1868-095X
- Language:
- English
- Subjects (All):
- Computer security.
- Artificial intelligence.
- Computer Security.
- Artificial Intelligence.
- artificial intelligence.
- Medical Subjects:
- Computer Security.
- Artificial Intelligence.
- Physical Description:
- 1 online resource
- Place of Publication:
- Cham, Switzerland Springer [2026]
- Summary:
- "With ransomware attacks predicted every two seconds by 2031 and 91% of successful cyberattacks beginning with social engineering, organizations face existential threats that demand AI-powered defenses integrating both technical sophistication and human behavioral insights. This comprehensive textbook bridges cutting-edge AI research with practical cybersecurity implementation. Readers progress from specialized applications including quantum-resistant architectures and AI-blockchain integration, through ethical governance and accountability frameworks, to advanced defense techniques and societal applications addressing threats from cyberbullying to AI-powered disinformation. The text uniquely integrates cognitive psychology with AI techniques, providing frameworks for human-AI collaborative defense that strengthen rather than replace human capabilities"-- Springer Nature Link
- Contents:
- AI-driven secure IoT application development
- AI and blockchain integration for cybersecurity
- Future of AI for cybersecurity : quantum computing and beyond
- AI ethics in cybersecurity : designing for accountability, trust, and human oversight
- Project leadership, management, and society for AI in cybersecurity
- Fairness and poison attack detection in AI for cybersecurity systems : a comprehensive toolkit
- Global governance and collaborative strategies for AI cybersecurity
- Prompt engineering for secure AI design and cyber defense
- Neurosymbolic AI for cybersecurity
- AI defensive strategies : training, hardening, and operational security
- AI model forensics, regulatory compliance, and security governance
- Designing resilient applications with AI
- Applications of generative AI for tackling cyberbullying
- Tackling money laundering with generative AI : ethical, technical, and regulatory dimensions
- Tackling ransomware with generative AI : ethical resilience and adaptive defense mechanisms
- AI for cybersecurity and resilience : a security-by-design approach
- Tackling social engineering with AI and generative AI : toward resilient human–AI defenses
- Tackling cybersecurity in the age of superintelligence
- AI for cybersecurity in model context protocols (MCPs) and AI agents
- AI for cybersecurity in identity and access management
- AI cybersecurity for tackling LLM security
- AI-powered security operations and automation
- AI for social responsibility in cybersecurity and societal applications
- Notes:
- Includes bibliographical references
- Online resource; title from PDF title page (Springer Nature Link, viewed June 16, 2026)
- Other Format:
- Print version Ramachandran, Muthu Guide to AI for cybersecurity
- ISBN:
- 9783032258748
- 303225874X
- 9783032173676
- 3032173671
- OCLC:
- 1594879822
- Access Restriction:
- Restricted for use by site license
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