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

by Team Trex
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Current price ₹2,914.00
Original price ₹3,941.00
Original price ₹3,941.00
Original price ₹3,941.00
(-26%)
₹2,914.00
Current price ₹2,914.00

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Book cover type: Paperback
  • ISBN13: 9798896653172
  • Binding: Paperback
  • Subject: N/A
  • Publisher: Nobletrex Press
  • Publisher Imprint: Nobletrex Press
  • Publication Date:
  • Pages: 204
  • Original Price: GBP 30.31
  • Language: English
  • Edition: N/A
  • Item Weight: 282 grams
  • BISAC Subject(s): Programming / Algorithms

"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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