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Kniha LLM-Powered Malware Team Trex

LLM-Powered Malware

How LLM-Powered Malware Is Reshaping the Digital World

Autor: Team Trex
Jazyk: Angličtina
Väzba: Brožovaná
Vydavateľ: NobleTrex Press
Dostupnosť: Skladom u dodávateľa
Odosielame za 10-18 dní
31.98 €
"LLM-Powered Malware: How LLM-Powered Malware Is Reshaping the Digital World"The integration of Larg...

Informácie o knihe

Autor
Team Trex
Jazyk
Angličtina
Väzba
Kniha - Brožovaná
Vydalo
2026
Stránok
204
EAN
9798896653172
Enbook ID
53028530
Vydavateľ
NobleTrex Press
Hmotnosť
281
Rozmery
152 x 229 x 11

Kompletný popis

"LLM-Powered Malware: How LLM-Powered Malware Is Reshaping the Digital World"

The integration of Large Language Models (LLMs) into offensive operations marks a paradigm shift in the digital threat landscape, enabling adversaries to move from manual execution to hyper-scale autonomy. This book addresses this critical evolution, targeting security architects, malware analysts, and AI engineers tasked with defending against machine-speed attacks. Moving beyond surface-level discussions of prompt engineering, the text explores the deep technical mechanics of how generative systems are weaponized to automate reconnaissance, generate polymorphic payloads, and orchestrate autonomous agentic intrusions.

Through a rigorous technical lens, readers will dissect the complete lifecycle of AI-driven threats, including the exploitation of instruction hierarchy failures, the weaponization of Retrieval-Augmented Generation (RAG), and the risks of recursive agentic loops. The book provides a comprehensive blueprint for hardening GenAI applications, detailing secure deployment patterns, sandboxing strategies for tool execution, and deterministic guardrails. You will master the methodologies for detecting non-deterministic abuse, implementing robust telemetry for probabilistic systems, and executing adversarial red teaming to validate security boundaries.

Designed for professionals with a strong foundation in cybersecurity and software engineering, this resource eschews simplification in favor of deep architectural analysis and actionable engineering patterns. By aligning advanced concepts