Autonomous Cyber Defense: Building the AI-Driven SOC (Volume-I): Why Human-Led Security Fails and How Intelligent Systems Take Over - Softcover
Book 1 of 3: Autonomous Cyber Defense
Synopsis
Autonomous Cyber Defense — Volume I
Why Human-Led Security Fails and How Intelligent Systems Take Over
Cybersecurity is no longer a human-speed problem.
Modern attacks execute in milliseconds—moving from initial access to full compromise faster than a human can react. In this environment, traditional Security Operations Centers (SOCs) are not just inefficient—they are mathematically obsolete.
This book introduces a new model of defense.
Instead of dashboards, alerts, and manual triage, security becomes a system governed by:
- Graph theory and network topology
- Reinforcement learning and adaptive policies
- Information theory and entropy reduction
- Game-theoretic adversarial dynamics
Through a rigorous yet practical lens, this volume reframes cyber defense as a control system operating at machine speed.
Inside, you’ll learn:
- Why alert-driven SOCs collapse under scale
- How to model cyber operations as Markov Decision Processes
- The role of reinforcement learning in autonomous response
- How multi-agent systems redefine defense strategies
- The foundations of sim-to-real cyber environments
This is not a guide to improving existing systems.
It is a blueprint for replacing them.
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Autonomous Cyber Defense: Building the AI-Driven SOC (Volume-I): Why Human-Led Security Fails and How Intelligent Systems Take Over
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