Open Daily: 10am - 10pm | Alley door pickup 10am - 7pm 3038 Hennepin Ave Minneapolis, MN
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  • Open Daily: 10am - 10pm
    Alley-side Pickup: 10am - 7pm

    3038 Hennepin Ave Minneapolis, MN
    612-822-4611

Open Daily: 10am - 10pm | Alley-side Pickup: 10am - 7pm
3038 Hennepin Ave Minneapolis, MN
612-822-4611
LLM-Powered Malware: How LLM-Powered Malware Is Reshaping the Digital World

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

Trex, Team

Paperback

Programming

ISBN13: 9798896653172
Publisher: Nobletrex Press
Published: Feb 18 2026
Pages: 204
Weight: 0.62
Height: 0.43 Width: 6.00 Depth: 9.00
Language: English

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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