Short Description of the BookSecuring Modern AI Applications is a practical guide to securing LLM-powered applications, RAG systems, AI agents, and modern AI development environments.The book explains AI-specific threats such as prompt injection, data leakage, RAG poisoning, insecure tool use, agent abuse, and AI supply-chain risks while also covering traditional application security, privacy, governance, secure development, monitoring, testing, and red teaming.Designed for developers, AI engineers, cybersecurity professionals, architects, and technology leaders, the book focuses on practical principles that remain useful as AI technologies continue to evolve.Build AI. Secure AI. Govern AI.
See what your network traffic is really revealing. This practical guide breaks down TLS fingerprinting, JA3/JA4 and HTTP client identification, then shows you how to put them to work with Python, Go and Rust. From protocol internals to production pipelines, learn how to identify clients at scale without losing sight of privacy or operational reality.
Get inside running software and see what it’s really doing. Mastering Frida takes you from your first hook to building serious instrumentation tools for Windows, Linux, macOS, Android and iOS. Learn how Frida works under the hood, where platforms differ and how to use its power without getting burned.
Ein Playbook gegen die agentische Drift — 29 Leitplanken, um KI-generierten Code prüfbar, ehrlich und auditierbar zu halten, destilliert aus über 27 Jahren Projekt- und Programmleitung in regulierten Branchen.
AI coding agents can build, run and break things at machine speed. This book shows you how to contain them safely. From Linux isolation and microVMs to WebAssembly, threat modeling and incident response, you’ll learn how to design production-grade sandboxes that let autonomous agents execute code without putting your systems at risk.
The security failures specific to AI-generated code, each paired with its fix. Hardcoded secrets, broken RLS policies, hallucinated packages, prompt injection, plus a 25-point pre-launch audit.
The 350-701 exam changed in August 2026. This guide was written for the version you are about to sit — all six domains, all 47 topics, in blueprint order.
Implementing ISO/IEC 27001:2022 is easier with the right guide. Packed with practical steps, ready-to-use templates and real-world examples, this book helps you build, manage and certify an effective Information Security Management System with confidence.
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.
A test-by-test playbook that turns Maester's 676 security checks into risks you understand and fixes you can run.
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.
Adversaries are recording encrypted traffic today to read it once a quantum computer arrives. NIST published the replacements in 2024, and OpenSSL ships them now. This is the migration: measured on one laptop with stock OpenSSL 3.5.5, with every claim labeled verified, reported, or proposed.
Learn Bash the way it should be taught: by building one real, tested backup tool — not toy examples — one Git commit at a time.
Your AI features are an attack surface. Learn to break them before someone else does — from prompt injection to retrieval poisoning, with hands-on labs.