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Adversarial attacks trick AI systems with malicious data, creating new security risks by exploiting how AI learns. This challenges cybersecurity as it forces us to defend against a whole new kind of threat. This book demystifies adversarial attacks and equips you with the skills to secure AI technologies, moving beyond research hype or business-as-usual activities. Learn how to defend AI and LLM systems against manipulation and intrusion through adversarial attacks such as poisoning, trojan horses, and model extraction, leveraging DevSecOps, MLOps, and other methods to secure systems.This strategy-based book is a comprehensive guide to AI security, combining structured frameworks with practical examples to help you identify and counter adversarial attacks. Part 1 introduces the foundations of AI and adversarial attacks. Parts 2, 3, and 4 cover key attack types, showing how each is performed and how to defend against them. Part 5 presents secure-by-design AI strategies, including threat modeling, MLSecOps, and guidance aligned with OWASP and NIST. The book concludes with a blueprint for maturing enterprise AI security based on NIST pillars, addressing ethics and safety under Trustworthy AI.By the end of this book, you’ll be able to develop, deploy, and secure AI systems against the threat of adversarial attacks effectively.
For beginners and experienced IT risk professionals alike, acing the ISACA CRISC exam is no mean feat, and the application of this advanced skillset in your daily work poses a challenge. The ISACA Certified in Risk and Information Systems Control (CRISC®) Certification Guide is a comprehensive guide to CRISC certification and beyond that’ll help you to approach these daunting challenges with its step-by-step coverage of all aspects of the exam content and develop a highly sought-after skillset in the process.This book is divided into six sections, with each section equipped with everything you need to get to grips with the domains covered in the exam. There’ll be no surprises on exam day – from GRC to ethical risk management, third-party security concerns to the ins and outs of control design, and IDS/IPS to the SDLC, no stone is left unturned in this book’s systematic design covering all the topics so that you can sit for the exam with confidence. What’s more, there are chapter-end self-assessment questions for you to test all that you’ve learned, as well as two book-end practice quizzes to really give you a leg up.By the end of this CRISC exam study guide, you’ll not just have what it takes to breeze through the certification process, but will also be equipped with an invaluable resource to accompany you on your career path.
Joe Dissmeyer, Joseph Dissmeyer
Orion Network Performance Monitor is a scalable, easy-to-use, cost-effective network monitoring system that provides a complete overview of network environments by monitoring performance and availability. Orion NPM enables you to be proactive in detecting, diagnosing, and resolving network issues and outages and has the benefit of supporting hundreds of types of server, OS, and network vendors including Cisco, HP, Microsoft, Linux, Motorola, Brocade, Foundry, and more.Orion NPM is a well-known product and is used by thousands of public and private companies, educational institutions, and government entities for network monitoring. In SolarWinds Orion Network Performance Monitor you will learn how to install, implement, and manage Orion NPM to ensure you maintain an efficient, healthy, and performant network.In this book you will start with an overview of the constituent features of Orion NPM. Leading you through installation and configuration this book will help you set up a flexible and dynamic monitoring solution.With Orion NPM in place the book will then take you on a journey through essential Orion NPM and network monitoring concepts and practices. You will cover device management, learning how to use the Network Sonar Wizard, as well as adding devices manually.Turning from novice to pro, you will then be introduced to the core of network monitoring with Orion NPM. You will learn about monitoring Windows and Linux solutions as well as Virtual Servers. You will then master wireless networks and virtual networks. You will then learn how to set up and edit alerts to make network monitoring more efficient and less time-consuming. You will also learn how to develop reports and network maps as well as essential administrative techniques.
Data engineering provides the foundation for data science and analytics, and forms an important part of all businesses. This book will help you to explore various tools and methods that are used for understanding the data engineering process using Python.The book will show you how to tackle challenges commonly faced in different aspects of data engineering. You’ll start with an introduction to the basics of data engineering, along with the technologies and frameworks required to build data pipelines to work with large datasets. You’ll learn how to transform and clean data and perform analytics to get the most out of your data. As you advance, you'll discover how to work with big data of varying complexity and production databases, and build data pipelines. Using real-world examples, you’ll build architectures on which you’ll learn how to deploy data pipelines.By the end of this Python book, you’ll have gained a clear understanding of data modeling techniques, and will be able to confidently build data engineering pipelines for tracking data, running quality checks, and making necessary changes in production.
Android Sensor Programming By Example. Click here to enter text
Android phones available in today’s market have a wide variety of powerful and highly precise sensors. Interesting applications can be built with them such as a local weather app using weather sensors, analyzing risky driving behavior using motion sensors, a fitness tracker using step-counter sensors, and so on. Sensors in external devices such as Android Watch, Body Analyzer & Weight Machine, Running Speed Cell, and so on can also be connected and used from your Android app running on your phone.Moving further, this book will provide the skills required to use sensors in your Android applications. It will walk you through all the fundamentals of sensors and will provide a thorough understanding of the Android Sensor Framework. You will also get to learn how to write code for the supportive infrastructure such as background services, scheduled and long running background threads, and databases for saving sensor data. Additionally, you will learn how to connect and use sensors in external devices from your Android app using the Google Fit platform.By the end of the book, you will be well versed in the use of Android sensors and programming to build interactive applications.