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Autor(en): 
  • Team Trex
  • LLM-Powered Malware: How LLM-Powered Malware Is Reshaping the Digital World 
     

    (Buch)
    Dieser Artikel gilt, aufgrund seiner Grösse, beim Versand als 2 Artikel!


    Übersicht

    Auf mobile öffnen
     
    Lieferstatus:   i.d.R. innert 7-14 Tagen versandfertig
    Veröffentlichung:  Februar 2026  
    Genre:  EDV / Informatik 
     
    autonomous agent exploitation / LLM-driven cyberattacks / polymorphic malware generation
    ISBN:  9798896653172 
    EAN-Code: 
    9798896653172 
    Verlag:  NobleTrex Press 
    Einband:  Kartoniert  
    Sprache:  English  
    Dimensionen:  H 229 mm / B 152 mm / D 11 mm 
    Gewicht:  304 gr 
    Seiten:  204 
    Bewertung: Titel bewerten / Meinung schreiben
    Inhalt:
    "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

      



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