Cognitive Edge Security: AI-Orchestrated CDN and WAF Frameworks for the Intelligent Web

Abstract

Cognitive Edge Security: AI-Orchestrated CDN and WAF Frameworks for the Intelligent Web

Objectives:
1. Understand the quantum computing threat landscape and evaluate how emerging quantum
algorithms can break classical encryption models such as RSA and ECC.
2. Examine post-quantum cryptographic (PQC) solutions and identify quantum-resistant
algorithms that organizations must adopt to secure future digital infrastructures.
3. Recognize the limitations of black-box AI models and establish the need for explainable AI
(XAI) to ensure transparency, trust, and regulatory compliance.
4. Analyze key explainability techniques, including LIME and SHAP, to interpret model
predictions and enhance human understanding of AI decision-making.
5. Promote ethical and accountable AI governance by implementing frameworks that ensure
fairness, bias reduction, transparency, and responsible use of AI systems.

Table of Contents

CHAPTER 1 The Crumbling Castle: Deconstructing Perimeter Security
CHAPTER 2 The Edge: The New Security Frontier
CHAPTER 3 Zero Trust: The Guiding Philosophy for Edge Security
CHAPTER 4 The Cognitive Leap: Infusing AI into Edge Security
CHAPTER 5 The AI-Orchestrated CDN: Proactive Defense at Layers 3/4
CHAPTER 6 The Cognitive WAF: Understanding Intent at Layer 7
CHAPTER 7 The AI Orchestration Engine: The Brain of the Operation
CHAPTER 8 Context-Aware Policy and Risk-Based Enforcement
CHAPTER 9 Automated Response and the Closed-Loop Ecosystem
CHAPTER 10 A Blueprint for Implementation
CHAPTER 11 The Adversarial Frontier: Defending the AI Itself
CHAPTER 12 The Future of Trust: Quantum, Ethics, and Explainability