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Stop Threats Before They Strike: AI for Next-Gen Cyber Security
Cyberattacks are no longer just faster. They are smarter. The same AI revolution transforming enterprise productivity has handed attackers a powerful new arsenal: AI-crafted phishing that defeats awareness training, deepfake voice and video for executive impersonation, autonomous AI agents that conduct multi-phase intrusions without human direction, and machine-speed lateral movement that completes before a human analyst has opened their alert queue. Stop Threats Before They Strike is the definitive guide to defending against this new threat landscape - not by keeping pace with attackers, but by getting ahead of them. Built around five real, high-impact breaches - Change Healthcare's $2.3B ransomware disaster, the September 2025 agentic AI espionage campaign against thirty organizations, Samsung's ChatGPT data leak, the MGM Resorts social engineering incident, and the Coinbase insider breach - this book uses real cases to make AI security concrete, practical, and urgent. The ANTICIPATE-DETECT-NEUTRALIZE framework gives security leaders a coherent model for building programs that find threats before they cause damage.
Twenty comprehensive chapters cover every major domain of AI-era security: behavioral analytics that catches what signatures miss, Zero Trust identity architecture, cloud security posture management, ransomware kill chain disruption, AI-powered phishing and deepfake defense, insider threat detection, agentic AI attack patterns, threat intelligence at machine speed, SOC automation and threat hunting, vulnerability management with exploit prediction, securing AI models themselves (MLSecOps), OT and IoT security, nation-state and APT defense, compliance governance, the quantum threat, building AI security teams, stack design and budgeting, and the complete CISO transformation roadmap. Whether you are a CISO designing your next budget request, a security engineer evaluating AI detection platforms, or an executive trying to understand what your organization's security program actually does - Stop Threats Before They Strike gives you the frameworks, the case studies, the technical depth, and the practical checklists you need to build a security program that is ready for the threats of today and durable against the threats of tomorrow. The attacker has an AI.
It is time you did too.
Twenty comprehensive chapters cover every major domain of AI-era security: behavioral analytics that catches what signatures miss, Zero Trust identity architecture, cloud security posture management, ransomware kill chain disruption, AI-powered phishing and deepfake defense, insider threat detection, agentic AI attack patterns, threat intelligence at machine speed, SOC automation and threat hunting, vulnerability management with exploit prediction, securing AI models themselves (MLSecOps), OT and IoT security, nation-state and APT defense, compliance governance, the quantum threat, building AI security teams, stack design and budgeting, and the complete CISO transformation roadmap. Whether you are a CISO designing your next budget request, a security engineer evaluating AI detection platforms, or an executive trying to understand what your organization's security program actually does - Stop Threats Before They Strike gives you the frameworks, the case studies, the technical depth, and the practical checklists you need to build a security program that is ready for the threats of today and durable against the threats of tomorrow. The attacker has an AI.
It is time you did too.
