"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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Da: California Books, Miami, FL, U.S.A.
Condizione: New. Codice articolo I-9798896653172
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Da: PBShop.store UK, Fairford, GLOS, Regno Unito
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Da: AHA-BUCH GmbH, Einbeck, Germania
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Da: preigu, Osnabrück, Germania
Taschenbuch. Condizione: Neu. LLM-Powered Malware | How LLM-Powered Malware Is Reshaping the Digital World | Team Trex | Taschenbuch | Englisch | 2026 | NobleTrex Press | EAN 9798896653172 | Verantwortliche Person für die EU: preigu GmbH & Co. KG, Lengericher Landstr. 19, 49078 Osnabrück, mail[at]preigu[dot]de | Anbieter: preigu Print on Demand. Codice articolo 135841953
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