Practical Guide to AI Agents and LLM Security: LLM & Agent Security - Tapa blanda

Sinopsis

Blurb AI agents and Large Language Models (LLMs) are transforming the way we work, communicate, and innovate. From intelligent assistants and autonomous workflows to enterprise-scale AI applications, these technologies are creating unprecedented opportunities—while also introducing new security, privacy, and governance challenges. AI Agents & LLM Security is a practical guide to understanding and securing modern AI systems. The book explores key threats such as prompt injection, data leakage, adversarial attacks, model manipulation, hallucinations, and AI misuse, while providing proven strategies to mitigate risks and build trustworthy AI solutions. Through real-world examples, practical techniques, and industry best practices, readers will learn how to design, deploy, and manage secure AI applications with confidence. Whether you are a developer, researcher, cybersecurity professional, student, or business leader, this book offers the knowledge and tools needed to navigate the rapidly evolving landscape of AI security. As AI becomes an integral part of organizations worldwide, securing intelligent systems is no longer optional—it is essential. This book equips you with the insights and best practices required to build resilient, responsible, and future-ready AI solutions.

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