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AI Cybersecurity Made Easy. A Practical Guide to Securing AI Apps, LLMs, Agents, RAG Systems, APIs, Cloud Workloads, and Business Data (en Inglés)
Voon Kiong Liew
AI Cybersecurity Made Easy. A Practical Guide to Securing AI Apps, LLMs, Agents, RAG Systems, APIs, Cloud Workloads, and Business Data (en Inglés)
Voon Kiong Liew (Autor) · Independently published · Tapa Blanda
Quedan 100 unidades
$ 43.89AI Cybersecurity Made Easy. A Practical Guide to Securing AI Apps, LLMs, Agents, RAG Systems, APIs, Cloud Workloads, and Business Data (en Inglés)
Voon Kiong Liew
Artificial Intelligence is transforming software development, business systems, education, cloud computing, automation, and cybersecurity. But as AI applications become more powerful, they also introduce new security risks.
AI Cybersecurity Made Easy is a practical beginner-to-intermediate guide that explains how to build, use, and protect AI-powered applications safely.
Written in a clear and accessible style, this book introduces the key security concepts every developer, student, IT professional, educator, and business leader should understand in the age of AI.
You will learn how to secure AI chatbots, RAG systems, vector databases, AI agents, APIs, cloud workloads, web applications, containers, DevOps pipelines, secrets, logs, and AI-powered automation tools.
This book covers important topics such as:
AI application architecturePrompt injection and input manipulationSensitive data protectionSecure RAG designVector database and embedding securityLLM agent securityAPI security for AI applicationsAuthentication and access controlSecure coding for AI developersWeb application security for AI appsCloud security for AI workloadsContainer and DevOps securitySecrets, keys, tokens, and credential protectionAI governance and responsible AI useMonitoring, logging, and incident responseDefensive cybersecurity automation with PythonBuilding a secure AI cybersecurity assistantThe book focuses on defensive, ethical, and responsible cybersecurity practices. It does not teach harmful hacking. Instead, it helps readers understand how AI systems can fail, how sensitive data can leak, how AI agents can be misused, and how developers can design safer systems from the beginning.
Whether you are building your first AI chatbot, adding AI features to a web application, creating a RAG knowledge assistant, developing AI agents, or learning cybersecurity for the AI era, this book provides a practical foundation.
By the end of the book, you will understand how to design AI systems that are useful, secure, limited, monitored, and accountable.
AI Cybersecurity Made Easy is ideal for:
Students learning AI and cybersecurityDevelopers building AI-powered applicationsIT professionals managing AI toolsEducators teaching modern technologyBusiness leaders adopting AI safelyCybersecurity beginners who want to understand AI risksAnyone interested in secure and responsible AI developmentAI is powerful, but power must come with protection.
This book will help you take your first confident step into the important field of AI cybersecurity.
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