Aligning Security Operations with the MITRE ATT&CK Framework. Level up your security operations center for better security

Rebecca Blair

The Mitre ATT&CK framework is an extraordinary resource for all SOC environments, however, determining the appropriate implementation techniques for different use cases can be a daunting task. This book will help you gain an understanding of the current state of your SOC, identify areas for improvement, and then fill the security gaps with appropriate parts of the ATT&CK framework. You’ll learn new techniques to tackle modern security threats and gain tools and knowledge to advance in your career.In this book, you’ll first learn to identify the strengths and weaknesses of your SOC environment, and how ATT&CK can help you improve it. Next, you’ll explore how to implement the framework and use it to fill any security gaps you’ve identified, expediting the process without the need for any external or extra resources. Finally, you’ll get a glimpse into the world of active SOC managers and practitioners using the ATT&CK framework, unlocking their expertise, cautionary tales, best practices, and ways to continuously improve.By the end of this book, you’ll be ready to assess your SOC environment, implement the ATT&CK framework, and advance in your security career.

Microsoft Defender for Endpoint in Depth. Take any organization's endpoint security to the next level

Paul Huijbregts, Joe Anich, Justen Graves

With all organizational data and trade secrets being digitized, the threat of data compromise, unauthorized access, and cyberattacks has increased exponentially. Microsoft Defender for Endpoint (MDE) is a market-leading cross-platform endpoint security solution that enables you to prevent, detect, investigate, and respond to threats. MDE helps strengthen the security posture of your organization.This book starts with a history of the product and a primer on its various features. From prevention to attack surface reduction, detection, and response, you’ll learn about the features, their applicability, common misconceptions, and caveats. After planning, preparation, deployment, and configuration toward successful implementation, you’ll be taken through a day in the life of a security analyst working with the product. You’ll uncover common issues, techniques, and tools used for troubleshooting along with answers to some of the most common challenges cybersecurity professionals face. Finally, the book will wrap up with a reference guide with tips and tricks to maintain a strong cybersecurity posture.By the end of the book, you’ll have a deep understanding of Microsoft Defender for Endpoint and be well equipped to keep your organization safe from different forms of cyber threats.

Automated Machine Learning. Hyperparameter optimization, neural architecture search, and algorithm selection with cloud platforms

Adnan Masood, Ahmed Sherif

Every machine learning engineer deals with systems that have hyperparameters, and the most basic task in automated machine learning (AutoML) is to automatically set these hyperparameters to optimize performance. The latest deep neural networks have a wide range of hyperparameters for their architecture, regularization, and optimization, which can be customized effectively to save time and effort.This book reviews the underlying techniques of automated feature engineering, model and hyperparameter tuning, gradient-based approaches, and much more. You'll discover different ways of implementing these techniques in open source tools and then learn to use enterprise tools for implementing AutoML in three major cloud service providers: Microsoft Azure, Amazon Web Services (AWS), and Google Cloud Platform. As you progress, you’ll explore the features of cloud AutoML platforms by building machine learning models using AutoML. The book will also show you how to develop accurate models by automating time-consuming and repetitive tasks in the machine learning development lifecycle.By the end of this machine learning book, you’ll be able to build and deploy AutoML models that are not only accurate, but also increase productivity, allow interoperability, and minimize feature engineering tasks.

Swift High Performance. Leverage Swift and enhance your code to take your applications to the next level

Kostiantyn Koval

Swift is one of the most popular and powerful programming languages for building iOS and Mac OS applications, and continues to evolve with new features and capabilities. Swift is considered a replacement to Objective-C and has performance advantages over Objective-C and Python. Swift adopts safe programming patterns and adds modern features to make programming easier, more flexible, and more fun.Develop Swift and discover best practices that allow you to build solid applications and optimize their performance.First, a few of performance characteristics of Swift will be explained. You will implement new tools available in Swift, including Playgrounds and REPL. These will improve your code efficiency, enable you to analyse Swift code, and enhance performance. Next, the importance of building solid applications using multithreading concurrency and multi-core device architecture is covered, before moving on to best practices and techniques that you should utilize when building high performance applications, such as concurrency and lazy-loading. Finally, you will explore the underlying structure of Swift further, and learn how to disassemble and compile Swift code.

MATLAB for Machine Learning. Unlock the power of deep learning for swift and enhanced results - Second Edition

Giuseppe Ciaburro

Discover why the MATLAB programming environment is highly favored by researchers and math experts for machine learning with this guide which is designed to enhance your proficiency in both machine learning and deep learning using MATLAB, paving the way for advanced applications.By navigating the versatile machine learning tools in the MATLAB environment, you’ll learn how to seamlessly interact with the workspace. You’ll then move on to data cleansing, data mining, and analyzing various types of data in machine learning, and visualize data values on a graph. As you progress, you’ll explore various classification and regression techniques, skillfully applying them with MATLAB functions.This book teaches you the essentials of neural networks, guiding you through data fitting, pattern recognition, and cluster analysis. You’ll also explore feature selection and extraction techniques for performance improvement through dimensionality reduction. Finally, you’ll leverage MATLAB tools for deep learning and managing convolutional neural networks.By the end of the book, you’ll be able to put it all together by applying major machine learning algorithms in real-world scenarios.

Kubernetes in Production Best Practices. Build and manage highly available production-ready Kubernetes clusters

Aly Saleh, Murat Karslioglu

Although out-of-the-box solutions can help you to get a cluster up and running quickly, running a Kubernetes cluster that is optimized for production workloads is a challenge, especially for users with basic or intermediate knowledge. With detailed coverage of cloud industry standards and best practices for achieving scalability, availability, operational excellence, and cost optimization, this Kubernetes book is a blueprint for managing applications and services in production.You'll discover the most common way to deploy and operate Kubernetes clusters, which is to use a public cloud-managed service from AWS, Azure, or Google Cloud Platform (GCP). This book explores Amazon Elastic Kubernetes Service (Amazon EKS), the AWS-managed version of Kubernetes, for working through practical exercises. As you get to grips with implementation details specific to AWS and EKS, you'll understand the design concepts, implementation best practices, and configuration applicable to other cloud-managed services. Throughout the book, you’ll also discover standard and cloud-agnostic tools, such as Terraform and Ansible, for provisioning and configuring infrastructure.By the end of this book, you’ll be able to leverage Kubernetes to operate and manage your production environments confidently.

Modern Python Cookbook. The latest in modern Python recipes for the busy modern programmer

Steven F. Lott

Python is the preferred choice of developers, engineers, data scientists, and hobbyists everywhere. It is a great scripting language that can power your applications and provide great speed, safety, and scalability. By exposing Python as a series of simple recipes, you can gain insight into specific language features in a particular context. Having a tangible context helps make the language or standard library feature easier to understand.This book comes with over 100 recipes on the latest version of Python. The recipes will benefit everyone ranging from beginner to an expert. The book is broken down into 13 chapters that build from simple language concepts to more complex applications of the language. The recipes will touch upon all the necessary Python concepts related to data structures, OOP, functional programming, as well as statistical programming. You will get acquainted with the nuances of Python syntax and how to effectively use the advantages that it offers. You will end the book equipped with the knowledge of testing, web services, and configuration and application integration tips and tricks. The recipes take a problem-solution approach to resolve issues commonly faced by Python programmers across the globe. You will be armed with the knowledge of creating applications with flexible logging, powerful configuration, and command-line options, automated unit tests, and good documentation.

Instant VMware vCloud Starter. A practical, hands-on guide to get started with VMware vCloud

Daniel Langenhan

The cloud is the next step forward in IT technology and most Enterprises are already following suit. The cloud enables self-service via a web interface, reducing the management overhead and has amazing possibilities for production and development environments. Knowing about the cloud will open up new possibilities for anyone interested in IT.Everyone is talking about the cloud, so join in  the discussion by learning how to create your own demo environment. See how the cloud can be used to reduce VM deployment time and create isolated and fenced environments inside your cloud.With Instant VMware vCloud Starter we look at the cloud in general, the vCloud Director installation and configuration, as well as template and networking configuration using step-by-step instructions and explanations taking you from theory to practical knowledge.You will be able to create templates and reuse them to rapidly deploy a complete environment. The other main topic we will be exploring is vCloud Networking, enabling you to configure complex network solutions, from multi-tiered application networks to full isolated development environments. You will learn everything you need to know about the vCloud to start exploring the vCloud by yourself. This book is a first step into a bigger world.