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Chapter
Focuses on foundational principles for building robust defenses, including Zero Trust, cyber deception, and adaptive controls that evolve against AI-powered threats.
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Introduction: Why Traditional Perimeters Fail Against AI-Scaled Attacks
Revisiting Zero Trust: Core Principles for the WormGPT Era
The Zero Trust Pillars: Architecting Controls for Identity, Devices, and Networks
Securing the Core: Data-Centric Security and Application Micro-segmentation
Beyond Static Defense: The Necessity of Adaptive Security Controls
The Engine of Adaptation: Using AI/ML for Real-Time Risk Assessment
Integrating Zero Trust and Adaptive Controls: A Unified Defense Strategy
Architectural Blueprint: A Reference Model for an AI-Resilient Enterprise
Case Study: Neutralizing an AI-Powered Phishing and Lateral Movement Campaign
Implementation Guide: Tooling, Technologies, and Overcoming Adoption Hurdles