Cyber Security

Secrets are one of the most overlooked risks in modern infrastructure. Secrets at Scale is a practical guide to managing credentials, API keys, certificates and other sensitive data across modern software environments. It gives engineers, DevOps teams, platform teams and security professionals the tools to build secure, scalable secrets management.

Mobile apps handle some of our most sensitive data, making security essential. Mobile Application Security explores how Android, iOS and cross-platform apps are attacked and secured. Covering secure coding, cryptography, reverse engineering and penetration testing, it gives developers, security professionals and students the practical skills to build and assess secure mobile applications.

Security engineering is about building systems that stay secure when things go wrong. This book covers the fundamentals of secure applications, infrastructure and operations through practical examples, real breaches and proven security practices.

AI is changing exploit development. Learn how to use large language models with tools like IDA Pro, Ghidra and Binary Ninja to speed up vulnerability research, reverse engineering and proof-of-concept exploit development while understanding where human expertise still matters.

Modern web security goes far beyond the basics. This book covers advanced web attacks including injection flaws, SSRF, API abuse, request smuggling and exploit chaining, plus 2026 topics like React2Shell, HTTP/3, AI-driven attacks, WebAssembly and supply chain compromises. Built for penetration testers, application security engineers and experienced developers.

AI writes code faster than you can review it. This book gives you the gates: automated guardrails that catch bugs, enforce standards, and verify behavior before bad code reaches production. Stop being the last line of defense. Build the gates that catch the slop first, so you design and verify instead of proofread.

This book presents an architecture-first approach to designing trustworthy GenAI applications. Using Digital Forensics and Incident Response (DFIR) as a continuous case study, you will progressively build an AI-assisted investigation system. If you want to move beyond building AI applications that simply work, and start architecting AI systems that professionals can trust, this book is for you.