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It's now more important than ever for organizations to be ready to detect and respond to security events and breaches. Preventive measures alone are not enough for dealing with adversaries. A well-rounded prevention, detection, and response program is required. This book will guide you through the stages of building a red team program, including strategies and homefield advantage opportunities to boost security.The book starts by guiding you through establishing, managing, and measuring a red team program, including effective ways for sharing results and findings to raise awareness. Gradually, you'll learn about progressive operations such as cryptocurrency mining, focused privacy testing, targeting telemetry, and even blue team tooling. Later, you'll discover knowledge graphs and how to build them, then become well-versed with basic to advanced techniques related to hunting for credentials, and learn to automate Microsoft Office and browsers to your advantage. Finally, you'll get to grips with protecting assets using decoys, auditing, and alerting with examples for major operating systems.By the end of this book, you'll have learned how to build, manage, and measure a red team program effectively and be well-versed with the fundamental operational techniques required to enhance your existing skills.
The book starts with an overview of the deep learning (DL) life cycle and the emerging Machine Learning Ops (MLOps) field, providing a clear picture of the four pillars of deep learning: data, model, code, and explainability and the role of MLflow in these areas.From there onward, it guides you step by step in understanding the concept of MLflow experiments and usage patterns, using MLflow as a unified framework to track DL data, code and pipelines, models, parameters, and metrics at scale. You’ll also tackle running DL pipelines in a distributed execution environment with reproducibility and provenance tracking, and tuning DL models through hyperparameter optimization (HPO) with Ray Tune, Optuna, and HyperBand. As you progress, you’ll learn how to build a multi-step DL inference pipeline with preprocessing and postprocessing steps, deploy a DL inference pipeline for production using Ray Serve and AWS SageMaker, and finally create a DL explanation as a service (EaaS) using the popular Shapley Additive Explanations (SHAP) toolbox.By the end of this book, you’ll have built the foundation and gained the hands-on experience you need to develop a DL pipeline solution from initial offline experimentation to final deployment and production, all within a reproducible and open source framework.
Microsoft Defender for Cloud is a multi-cloud and hybrid cloud security posture management solution that enables security administrators to build cyber defense for their Azure and non-Azure resources by providing both recommendations and security protection capabilities.This book will start with a foundational overview of Microsoft Defender for Cloud and its core capabilities. Then, the reader is taken on a journey from enabling the service, selecting the correct tier, and configuring the data collection, to working on remediation. Next, we will continue with hands-on guidance on how to implement several security features of Microsoft Defender for Cloud, finishing with monitoring and maintenance-related topics, gaining visibility in advanced threat protection in distributed infrastructure and preventing security failures through automation.By the end of this book, you will know how to get a view of your security posture and where to optimize security protection in your environment as well as the ins and outs of Microsoft Defender for Cloud.
We start by reminding you about the basic functionalities of Metasploit and its use in the most traditional ways. You’ll get to know about the basics of programming Metasploit modules as a refresher and then dive into carrying out exploitation as well building and porting exploits of various kinds in Metasploit.In the next section, you’ll develop the ability to perform testing on various services such as databases, Cloud environment, IoT, mobile, tablets, and similar more services. After this training, we jump into real-world sophisticated scenarios where performing penetration tests are a challenge. With real-life case studies, we take you on a journey through client-side attacks using Metasploit and various scripts built on the Metasploit framework.By the end of the book, you will be trained specifically on time-saving techniques using Metasploit.
Microsoft Windows Intune is a cloud service solution that simplifies how small and mid-sized businesses manage and secure PCs using Microsoft cloud services and Windows 7óso your computers and users can operate at peak performance all the time.This step-by-step guide will show you how to plan, set up and maintain Windows Intune, showing you how to manage a group of PCs (either 1 business or several if a partner) from the base operating system, through to the patches, anti-malware solution and deployed software and policies from a central console, using the Windows Intune service. This book takes you through all the steps to plan, set up and maintain Windows Intune and how to manage a group of PCs. The book starts by providing an overview of Cloud Computing and PC Management. The book then dives into topics such as Windows Intune features, signing up for Windows Intune and installing the client software, configuring Windows Intune, proactive management, and monitoring and dealing with alerts, including remote assistance amongst others. As Windows 7 is part of Windows Intune, the book will also cover the minimum steps required to move from Windows XP to Windows 7 while keeping user settings and preferences.