{"product_id":"machine-learning-security-with-azure-best-practices-for-assessing-securing-and-monitoring-azure-machine-learning-workloads-paperback","title":"Machine Learning Security with Azure: Best practices for assessing, securing, and monitoring Azure Machine Learning workloads - Paperback","description":"\u003cdiv\u003e\u003cp style=\"text-align: right;\"\u003e\u003ca href=\"https:\/\/reportcopyrightinfringement.com\/\" target=\"_blank\" rel=\"nofollow\"\u003e\u003cb\u003eReport copyright infringement\u003c\/b\u003e\u003c\/a\u003e\u003c\/p\u003e\u003c\/div\u003e\u003cp\u003eby \u003cb\u003eGeorgia Kalyva\u003c\/b\u003e (Author)\u003c\/p\u003e\u003cp\u003e\u003c\/p\u003e\u003cp\u003e\u003cstrong\u003eImplement industry best practices to identify vulnerabilities and protect your data, models, environment, and applications while learning how to recover from a security breach\u003c\/strong\u003e\u003c\/p\u003e\u003cp\u003e\u003cbr\u003e\u003c\/p\u003e\u003cp\u003e\u003cstrong\u003eKey Features: \u003c\/strong\u003e\u003c\/p\u003e\u003cul\u003e\n\u003cli\u003eLearn about machine learning attacks and assess your workloads for vulnerabilities\u003c\/li\u003e\n\u003cli\u003eGain insights into securing data, infrastructure, and workloads effectively\u003c\/li\u003e\n\u003cli\u003eDiscover how to set and maintain a better security posture with the Azure Machine Learning platform\u003c\/li\u003e\n\u003cli\u003ePurchase of the print or Kindle book includes a free PDF eBook\u003c\/li\u003e\n\u003c\/ul\u003e\u003cp\u003e\u003cbr\u003e\u003c\/p\u003e\u003cp\u003e\u003cstrong\u003eBook Description: \u003c\/strong\u003e\u003c\/p\u003e\u003cp\u003eWith AI and machine learning (ML) models gaining popularity and integrating into more and more applications, it is more important than ever to ensure that models perform accurately and are not vulnerable to cyberattacks. However, attacks can target your data or environment as well. This book will help you identify security risks and apply the best practices to protect your assets on multiple levels, from data and models to applications and infrastructure.\u003c\/p\u003e\u003cp\u003eThis book begins by introducing what some common ML attacks are, how to identify your risks, and the industry standards and responsible AI principles you need to follow to gain an understanding of what you need to protect. Next, you will learn about the best practices to secure your assets. Starting with data protection and governance and then moving on to protect your infrastructure, you will gain insights into managing access and securing your Azure ML workspace. This book introduces DevOps practices to automate your tasks securely and explains how to recover from ML attacks. Finally, you will learn how to set a security benchmark for your scenario and best practices to maintain and monitor your security posture.\u003c\/p\u003e\u003cp\u003eBy the end of this book, you'll be able to implement best practices to assess and secure your ML assets throughout the Azure Machine Learning life cycle.\u003c\/p\u003e\u003cp\u003e\u003cbr\u003e\u003c\/p\u003e\u003cp\u003e\u003cstrong\u003eWhat You Will Learn: \u003c\/strong\u003e\u003c\/p\u003e\u003cul\u003e\n\u003cli\u003eExplore the Azure Machine Learning project life cycle and services\u003c\/li\u003e\n\u003cli\u003eAssess the vulnerability of your ML assets using the Zero Trust model\u003c\/li\u003e\n\u003cli\u003eExplore essential controls to ensure data governance and compliance in Azure\u003c\/li\u003e\n\u003cli\u003eUnderstand different methods to secure your data, models, and infrastructure against attacks\u003c\/li\u003e\n\u003cli\u003eFind out how to detect and remediate past or ongoing attacks\u003c\/li\u003e\n\u003cli\u003eExplore methods to recover from a security breach\u003c\/li\u003e\n\u003cli\u003eMonitor and maintain your security posture with the right tools and best practices\u003c\/li\u003e\n\u003c\/ul\u003e\u003cp\u003e\u003cbr\u003e\u003c\/p\u003e\u003cp\u003e\u003cstrong\u003eWho this book is for: \u003c\/strong\u003e\u003c\/p\u003e\u003cp\u003eMachine learning book; Ai and machine learning for coders; Cybersecurity; Hand-on machine learning; Cybersecurity books\u003c\/p\u003e\u003cp\u003eThis book is for anyone looking to learn how to assess, secure, and monitor every aspect of AI or machine learning projects running on the Microsoft Azure platform using the latest security and compliance, industry best practices, and standards. This is a must-have resource for machine learning developers and data scientists working on ML projects. IT administrators, DevOps, and security engineers required to secure and monitor Azure workloads will also benefit from this book, as the chapters cover everything from implementation to deployment, AI attack prevention, and recovery.\u003c\/p\u003e\n            \u003cdiv\u003e\n\u003cstrong\u003eNumber of Pages:\u003c\/strong\u003e 310\u003c\/div\u003e\n            \u003cdiv\u003e\n\u003cstrong\u003eDimensions:\u003c\/strong\u003e 0.65 x 9.25 x 7.5 IN\u003c\/div\u003e\n            \u003cdiv\u003e\n\u003cstrong\u003ePublication Date:\u003c\/strong\u003e December 28, 2023\u003c\/div\u003e\n            ","brand":"BooksCloud","offers":[{"title":"Default Title","offer_id":53343200215347,"sku":"9781805120483","price":81.86,"currency_code":"USD","in_stock":true}],"thumbnail_url":"\/\/cdn.shopify.com\/s\/files\/1\/0300\/5595\/6612\/files\/g0IOMQSJdl9781805120483.webp?v=1778706231","url":"https:\/\/www.vysn.com\/en-ca\/products\/machine-learning-security-with-azure-best-practices-for-assessing-securing-and-monitoring-azure-machine-learning-workloads-paperback","provider":"VYSN","version":"1.0","type":"link"}