Welcome to the Books section. Here you’ll find comprehensive guides on AI-enabled security operations.
Available Books#
AI Enabled Blue Team Operations for Small to Medium Size Businesses#
A practical guide to implementing AI-powered blue team security operations tailored for SMB environments.
Topics covered:
- Cybersecurity landscape and challenges for SMBs
- AI fundamentals for security professionals
- Building AI-enabled detection and response systems
- Practical implementation strategies
- Future trends in AI security
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I am Sam#
The story of a personal AI infrastructure — from first question to sovereign system. A security architect’s journey building a complete AI system on local hardware, with memory, voice, agents, and security baked in.
Topics covered:
- The NotebookLM moment that started it all
- Building local AI tools (voice, vision, agents)
- Security thinking applied to AI infrastructure
- The sovereignty philosophy that shaped every decision
- From isolated scripts to a coordinated platform
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More books coming soon…
I am Sam The story of a personal AI infrastructure — from first question to sovereign system
About This Book This is the story of how a security architect built a personal AI infrastructure from scratch — not by subscribing to cloud services, but by creating something that belongs to them. It begins with a single frustration: a brilliant tool that vanished behind a web login. It ends with a complete, sovereign AI system running on local hardware, with memory, voice, agents, and security baked in.
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AI Enabled Blue Team Operations for Small to Medium Size Businesses A practical guide to implementing AI-powered blue team security operations in SMB environments
About This Book This book provides a comprehensive guide to leveraging artificial intelligence for cybersecurity operations in small to medium-sized businesses. It bridges the gap between enterprise-level AI security solutions and the practical needs of resource-constrained SMB security teams.
Table of Contents Chapter 1 – The Cybersecurity Landscape Today Chapter 2 – Machine Learning Basics for Security Chapter 3 – AI‑Driven Threat Detection Chapter 4 – Automated Incident Response Chapter 5 – Building a Low‑Cost AI Security Stack Chapter 6 – Human‑AI Collaboration Models Chapter 7 – Governance, Ethics, and Compliance Chapter 8 – Case Studies & Success Stories Chapter 9 – Roadmap for the Next Decade Chapter 10 – Practical Implementation Guide How to Read This Book You can read this book sequentially from Chapter 1 to Chapter 10, or jump to specific chapters based on your interests and needs. Each chapter builds upon fundamental concepts while remaining accessible to readers at different points in their AI security journey.
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