Cyber Security

Reverse engineering gets a powerful upgrade with Claude Code. Learn how to investigate, understand and reconstruct software you’re authorized to analyze, while keeping evidence, accuracy and reproducibility at the center. From legacy systems to modern codebases, this book turns AI into a practical partner for serious software analysis.

When an attack hits the cloud, the evidence can disappear fast. Forensics in the Cloud shows defenders how to find, preserve and piece together the clues across AWS, Azure, GCP and Oracle Cloud. With practical workflows, code and real-world scenarios, it’s a hands-on guide to uncovering what happened and proving it.

Smart cards power secure payments, digital identity and trusted authentication around the world. This book is a practical guide to building secure applications for ISO/IEC 7816 and ISO/IEC 14443 systems with real code, hands-on examples and proven development practices.

AI governance is moving from principle to practice. This hands-on guide shows you how to build, implement and certify an ISO/IEC 42001 AI management system with confidence. From clause-by-clause guidance to practical templates, integration strategies and real-world scenarios, it turns a complex standard into a clear path from foundation to certification.

Build AI that keeps working when the cloud doesn't. Local-First AI Engineering shows you how to run capable, private AI systems on infrastructure you control. From hardware and inference to RAG, agents, security and production ops, you'll learn how to build local AI that is fast, reliable and truly yours.

A practical guide to finding threats that never need to touch disk. Explore Windows internals, memory forensics, EDR telemetry and network detection through safe labs and real investigative methods. Built for defenders who want to understand what happens in memory, spot suspicious behavior and turn evidence into reliable detections.

Discover how Windows software really works with a practical guide to modern x64 assembly. From core concepts to advanced optimization, reverse engineering, and low-level systems programming, this book equips you with the knowledge to write fast, secure, and efficient code.

This book is a workshop where things go wrong on the page, in front of you, and then get fixed in code, with the output that proves the fix worked. There's no need to be a security expert to follow along. We'll be moving from the interpreter to the supply chain, from the token to the human clicking Allow, and from a single tool to a whole host of untrusting servers.

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.

Modern cybersecurity needs tools that are fast, reliable and close to the hardware. BlackHat Zig shows how Zig's performance, memory control and compile-time features make it a powerful language for building security tools. Through practical examples, you'll learn Zig while exploring reverse engineering, exploit development, malware analysis, network security and defensive engineering.

Here's a shorter version:Go beyond DNS lookups and build a high-performance recursive DNS resolver in Zig from the ground up. Through a hands-on implementation, you will master the protocols, algorithms, and systems programming techniques that power one of the internet's most essential services.

Real attacks don't live in slide decks. They live in the stack, the heap, the kernel. This code-first guide takes practitioners who already know C straight into how modern exploits and malware actually work, pairing every offensive technique with the defense built to stop it. Rigorous, hands-on, and strictly for isolated, legal, ethical lab use.

AI-generated content is everywhere, but how do you know what is real? The AI Forensics Handbook explores the science behind detecting synthetic text, images, video and audio, revealing the signals AI leaves behind and the methods used to uncover them. Practical, rigorous and grounded in real-world limitations, this is a guide to understanding what detection can really prove.

AI models do not have to be huge, slow or expensive. Distilling Intelligence explores how to build smaller models that perform at scale, then secure the APIs that serve them. From compression and distributed serving to extraction attacks, observability and incident response, this book covers what it takes to run AI reliably in the real world.

AI is changing the security landscape faster than most organizations can adapt. This practical guide explores how CISOs can lead through that change, strengthen digital trust and resilience, govern AI risks and protect the business without slowing the innovation it needs.