{"product_id":"9781394413416","title":"Large Language Models and Secure Code Generation","description":"\u003ch1\u003eLarge Language Models and Secure Code Generation\u003c\/h1\u003e\u003ch3\u003eHui Li | Bin Wang\u003c\/h3\u003e\u003cdiv\u003e\u003cb\u003eCOM100000\u003c\/b\u003e\u003c\/div\u003e\u003cbr\u003e\u003cdiv\u003e\n\u003cp\u003e\u003cb\u003eAutomate, harden, and validate code generation using large language models\u003c\/b\u003e \u003c\/p\u003e\n\u003cp\u003eLLM-generated code introduces vulnerabilities that conventional static analysis often misses. \u003ci\u003eLarge Language Models and Secure Code Generation\u003c\/i\u003e addresses this problem directly, presenting methods to produce secure, production-quality code and integrate models into modern software security workflows.  \u003c\/p\u003e\n\u003cp\u003eThe book details techniques including Prompt Engineering, Prefix-Tuning, and Retrieval-Augmented Generation for improving code security. It introduces Mechanistic AI, advocating a shift from syntactic security to semantic-pragmatic security, and examines LLM-driven agents that orchestrate security audits. Coverage extends to multimodal and on-device LLM deployment trends, with code snippets, configuration examples, and task-specific recipes throughout each chapter. \u003c\/p\u003e\n\u003cp\u003eReaders will also find: \u003c\/p\u003e\n\u003cul\u003e \u003cli\u003eReal-world case studies illustrating how leading teams leverage LLMs to accelerate secure feature development across production environments\u003c\/li\u003e \u003cli\u003eEnd-of-chapter questions and exercises designed to reinforce core concepts in secure code generation and LLM safety\u003c\/li\u003e \u003cli\u003eMethods for gathering high-quality code examples, setting training objectives, and fine-tuning models for security-critical applications\u003c\/li\u003e \u003cli\u003eDesign patterns for LLM-driven agents capable of orchestrating automated security audits and adaptive threat response\u003c\/li\u003e \u003cli\u003eCoverage of emerging on-device LLM deployment architectures and their implications for software security in resource-constrained environments\u003c\/li\u003e \u003c\/ul\u003e \u003cp\u003eDesigned for AI researchers, IT security professionals, and graduate students in computer science or software engineering, this book delivers the technical depth needed to build, evaluate, and deploy LLM-based systems that generate secure code. It connects architectural foundations with actionable security workflows for real-world implementation.\u003c\/p\u003e\n\u003c\/div\u003e\u003cdiv\u003e  \u003cp\u003e\u003cb\u003eHui Li, PhD, \u003c\/b\u003eis an Emeritus  Professor at the Shenzhen Graduate School of Peking University, Fellow of IET, and a Member of The National Academy of Artificial Intelligence, US（NAAI). Professor Li proposed the first Co-governed sovereignty network architecture ”CoG-MIN” based on blockchain and future network technology, holds 8 US granted patents and over 60 Chinese granted patents, and has first authored 6 English monographs by Top publishes in the world and more than 300 published papers. \u003c\/p\u003e\n\u003cp\u003e\u003cb\u003eBin Wang \u003c\/b\u003eis a Ph.D. candidate in Computer Science at Peking University, affiliated with the Future Network Security Research Center. His research focuses on secure code generation, LLM safety, software composition analysis, and automated vulnerability discovery. He received his B.E. in Software Engineering from UESTC, where he earned multiple National Scholarships. \u003c\/p\u003e\n\u003c\/div\u003e\u003cbr\u003e\u003ctable\u003e\n\u003ctr\u003e\n\u003ctd\u003ePublication Date: \u003c\/td\u003e\n\u003ctd\u003e09 February 2027\u003c\/td\u003e\n\u003c\/tr\u003e\n\u003ctr\u003e\n\u003ctd\u003ePublisher: \u003c\/td\u003e\n\u003ctd\u003eWiley\u003c\/td\u003e\n\u003c\/tr\u003e\n\u003ctr\u003e\n\u003ctd\u003eImprint: \u003c\/td\u003e\n\u003ctd\u003eWiley-IEEE Press\u003c\/td\u003e\n\u003c\/tr\u003e\n\u003ctr\u003e\n\u003ctd\u003eISBN-13: \u003c\/td\u003e\n\u003ctd\u003e9781394413416\u003c\/td\u003e\n\u003c\/tr\u003e\n\u003ctr\u003e\n\u003ctd\u003eFormat: \u003c\/td\u003e\n\u003ctd\u003eHardback\u003c\/td\u003e\n\u003c\/tr\u003e\n\u003ctr\u003e\n\u003ctd\u003ePage Count: \u003c\/td\u003e\n\u003ctd\u003e304\u003c\/td\u003e\n\u003c\/tr\u003e\n\u003c\/table\u003e","brand":"Wiley","offers":[{"title":"Default Title","offer_id":44477113401484,"sku":"9781394413416","price":135.0,"currency_code":"USD","in_stock":true}],"thumbnail_url":"\/\/cdn.shopify.com\/s\/files\/1\/0710\/9545\/1788\/files\/9781394413416_aea00ea0-d821-4631-8532-d59db30d81cc.jpg?v=1780617388","url":"https:\/\/fh90cf-fv.myshopify.com\/products\/9781394413416","provider":"Late Knight Books and Services, LLC","version":"1.0","type":"link"}