Securing Microsoft Azure Openai

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Securing Microsoft Azure Openai

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Author : Karl Ots
language : en
Publisher: John Wiley & Sons
Release Date : 2025-03-11

Securing Microsoft Azure Openai written by Karl Ots and has been published by John Wiley & Sons this book supported file pdf, txt, epub, kindle and other format this book has been release on 2025-03-11 with Computers categories.

Securely harness the full potential of OpenAI’s artificial intelligence tools in Azure Securing Microsoft Azure OpenAI is an accessible guide to leveraging the comprehensive AI capabilities of Microsoft Azure while ensuring the utmost data security. This book introduces you to the collaborative powerhouse of Microsoft Azure and OpenAI, providing easy access to cutting-edge language models like GPT-4o, GPT-3.5-Turbo, and DALL-E. Designed for seamless integration, the Azure OpenAI Service revolutionizes applications from dynamic content generation to sophisticated natural language translation, all hosted securely within Microsoft Azure’s environment. Securing Microsoft Azure OpenAI demonstrates responsible AI deployment, with a focus on identifying potential harm and implementing effective mitigation strategies. The book provides guidance on navigating risks and establishing best practices for securely and responsibly building applications using Azure OpenAI. By the end of this book, you’ll be equipped with the best practices for securely and responsibly harnessing the power of Azure OpenAI, making intelligent decisions that respect user privacy and maintain data integrity.

Microsoft Security Operations Analyst Associate Sc 200 Certification Guide

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Author : Aditya Katira
language : en
Publisher: Orange Education Pvt Ltd
Release Date : 2025-06-12

Microsoft Security Operations Analyst Associate Sc 200 Certification Guide written by Aditya Katira and has been published by Orange Education Pvt Ltd this book supported file pdf, txt, epub, kindle and other format this book has been release on 2025-06-12 with Computers categories.

TAGLINE Detect, Investigate, and Respond to Threats with Microsoft tools KEY FEATURES ● In-depth coverage of Microsoft SC 200 Certification to secure identities, endpoints, and cloud workloads across hybrid environments. ● Hands-on guidance with KQL, threat hunting, and automation to simulate real-world security operations. ● Exclusive insights on AI-powered security using Microsoft Copilot and emerging trends shaping the future of SOC operations. DESCRIPTION The Microsoft Security Operations Analyst certification (SC-200) is a vital credential for anyone aiming to excel in modern cybersecurity roles. The Microsoft Security Operations Analyst Associate (SC-200) Certification Guide is your companion for mastering the skills and tools needed to pass the exam and thrive as a Security Operations Analyst in Microsoft environments. Through in-depth coverage of Microsoft Sentinel, Microsoft Defender for Cloud, and Microsoft 365 Defender, you'll learn to detect, investigate, and respond to threats across hybrid and cloud infrastructures. With a focus on real-world use cases, this book walks you through key concepts such as threat mitigation, incident response, and security monitoring—all aligned with the latest SC-200 objectives. You’ll gain hands-on experience configuring Microsoft’s security tools, writing queries using Kusto Query Language (KQL), creating custom detection rules, and automating responses for streamlined SOC operations. Each chapter builds your expertise through practical examples and exercises, helping bridge the gap between certification prep and operational readiness. Whether you're looking to boost your cybersecurity career or strengthen your organization’s defenses, this guide provides the knowledge and exam confidence you need. Take the next step to become a Microsoft Security Operations Analyst expert. WHAT WILL YOU LEARN ● Configure and operationalize Microsoft Defender for Identity, Endpoint, and Cloud to protect users and resources. ● Leverage Microsoft Copilot for Security to enhance investigation and response using generative AI capabilities. ● Implement Data Loss Prevention (DLP), Insider Risk Management, and eDiscovery for robust information protection. ● Use Kusto Query Language (KQL) to analyze logs, hunt threats, and develop custom queries. ● Enhance security visibility through effective use of data connectors and threat intelligence feeds in Microsoft Sentinel. ● Automate detection and response workflows using Sentinel’s playbooks, analytics rules, and notebooks for advanced threat management. WHO IS THIS BOOK FOR? This book is ideal for security analysts, system administrators, and IT professionals preparing for the SC-200: Microsoft Security Operations Analyst certification. It is also valuable for those looking to deepen their expertise in Microsoft security solutions. A working knowledge of Microsoft Azure, Microsoft 365, and core cybersecurity concepts is recommended to get the most from this guide. TABLE OF CONTENTS 1. Microsoft Defender Identity Endpoint Cloud and More 2. Microsoft Copilot for Security with AI Assistance 3. Mastering Data Protection with Data Loss Prevention, Insider Risk, and Content Search 4. Securing Endpoint Deployment Management and Investigation 5. Managing Security Posture Across Platforms 6. KQL Mastery for Querying Analyzing and Working with Security Data 7. Optimizing Security Operations with Log Management Watchlists and Threat Intelligence 8. Expanding Security Visibility with Data Connectors in Microsoft Sentinel 9. Tactical Threat Management with Detection Automation and Response 10. Decoding Threat Hunting by Leveraging Search Jobs and Notebooks 11. Future Trends in Security Operations Index

Azure Openai Service For Cloud Native Applications

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Author : Adrián González Sánchez
language : en
Publisher: "O'Reilly Media, Inc."
Release Date : 2024-06-27

Azure Openai Service For Cloud Native Applications written by Adrián González Sánchez and has been published by "O'Reilly Media, Inc." this book supported file pdf, txt, epub, kindle and other format this book has been release on 2024-06-27 with Computers categories.

Get the details, examples, and best practices you need to build generative AI applications, services, and solutions using the power of Azure OpenAI Service. With this comprehensive guide, Microsoft AI specialist Adrián González Sánchez examines the integration and utilization of Azure OpenAI Service—using powerful generative AI models such as GPT-4 and GPT-4o—within the Microsoft Azure cloud computing platform. To guide you through the technical details of using Azure OpenAI Service, this book shows you how to set up the necessary Azure resources, prepare end-to-end architectures, work with APIs, manage costs and usage, handle data privacy and security, and optimize performance. You'll learn various use cases where Azure OpenAI Service models can be applied, and get valuable insights from some of the most relevant AI and cloud experts. Ideal for software and cloud developers, product managers, architects, and engineers, as well as cloud-enabled data scientists, this book will help you: Learn how to implement cloud native applications with Azure OpenAI Service Deploy, customize, and integrate Azure OpenAI Service with your applications Customize large language models and orchestrate knowledge with company-owned data Use advanced roadmaps to plan your generative AI project Estimate cost and plan generative AI implementations for adopter companies

Cloud Security Handbook

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Author : Eyal Estrin
language : en
Publisher: Packt Publishing Ltd
Release Date : 2025-04-30

Cloud Security Handbook written by Eyal Estrin and has been published by Packt Publishing Ltd this book supported file pdf, txt, epub, kindle and other format this book has been release on 2025-04-30 with Computers categories.

A complete guide to securing the core components of cloud services, with practical, real-world examples using the built-in security features of Azure, AWS, and GCP Key Features Discover hands-on techniques for implementing robust cloud security implementation Protect your data and cloud infrastructure with tailored security strategies for your business Learn how to implement DevSecOps, apply encryption, detect threats and misconfigurations, and maintain cloud compliance Purchase of the print or Kindle book includes a free PDF eBook Book DescriptionSecuring cloud resources is no easy task—each provider has its unique set of tools, processes, and challenges, demanding specialized expertise. This book cuts through the complexity, delivering practical guidance on embedding security best practices across the core infrastructure components of AWS, Azure, and GCP. It equips information security professionals and cloud engineers with the skills to identify risks and implement robust security controls throughout the design, deployment, and maintenance of public cloud environments. Starting with the shared responsibility model, cloud service models, and deployment models, this book helps you get to grips with fundamental concepts such as compute, storage, networking, identity management, and encryption. You’ll then explore common threats and compliance requirements for cloud environments. As you progress, you'll implement security strategies across deployments ranging from small-scale environments to enterprise-grade production systems, including hybrid and multi-cloud setups. This edition expands on emerging topics like GenAI service security and DevSecOps, with hands-on examples leveraging built-in security features of AWS, Azure, and GCP. By the end of this book, you'll confidently secure any cloud environment with a comprehensive understanding of cloud security principles.What you will learn Grasp the fundamental concepts of cloud services Secure compute, storage, and networking services across cloud platforms Get to grips with identity management in the cloud Secure Generative AI services in the cloud Audit and monitor cloud services with a security-focused approach Identify common threats and implement encryption to safeguard cloud services Implement security in hybrid and multi-cloud environments Design and maintain scalable security for large-scale cloud deployments Who this book is for This book is for IT professionals and information security personnel taking their first steps in the public cloud or migrating existing environments to the cloud. Cloud engineers, cloud architects, and cloud security professionals responsible for maintaining production environments in the cloud will also benefit from this book. Prior experience with deploying virtual machines, using storage services, and networking will help you to get the most out of this book.

Learning Microsoft Power Apps

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Author : Arpit Shrivastava
language : en
Publisher: "O'Reilly Media, Inc."
Release Date : 2024-07-17

Learning Microsoft Power Apps written by Arpit Shrivastava and has been published by "O'Reilly Media, Inc." this book supported file pdf, txt, epub, kindle and other format this book has been release on 2024-07-17 with Computers categories.

In today's fast-paced world, more and more organizations require rapid application development with reduced development costs and increased productivity. This practical guide shows application developers how to use PowerApps, Microsoft's no-code/low-code application framework that helps developers speed up development, modernize business processes, and solve tough challenges. Author Arpit Shrivastava provides a comprehensive overview of designing and building cost-effective applications with Microsoft Power Apps. You'll learn fundamental concepts behind low-code and no-code development, how to build applications using pre-built and blank templates, how to design an app using Copilot AI and drag and drop PowerPoint-like controls, use Excel-like expressions to write business logic for an app, and integrate apps with external data sources. With this book, you'll: Learn the importance of no-code/low-code application development Design mobile/tablet (canvas apps) applications using pre-built and blank templates Design web applications (model-driven apps) using low-code, no-code, and pro-code components Integrate PowerApps with external applications Learn basic coding concepts like JavaScript, Power Fx, and C# Apply best practices to customize Dynamics 365 CE applications Dive into Azure DevOps and ALM concepts to automate application deployment

Generative Ai Security

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Author : Ken Huang
language : en
Publisher: Springer Nature
Release Date : 2024-04-05

Generative Ai Security written by Ken Huang and has been published by Springer Nature this book supported file pdf, txt, epub, kindle and other format this book has been release on 2024-04-05 with Business & Economics categories.

This book explores the revolutionary intersection of Generative AI (GenAI) and cybersecurity. It presents a comprehensive guide that intertwines theories and practices, aiming to equip cybersecurity professionals, CISOs, AI researchers, developers, architects and college students with an understanding of GenAI’s profound impacts on cybersecurity. The scope of the book ranges from the foundations of GenAI, including underlying principles, advanced architectures, and cutting-edge research, to specific aspects of GenAI security such as data security, model security, application-level security, and the emerging fields of LLMOps and DevSecOps. It explores AI regulations around the globe, ethical considerations, the threat landscape, and privacy preservation. Further, it assesses the transformative potential of GenAI in reshaping the cybersecurity landscape, the ethical implications of using advanced models, and the innovative strategies required to secure GenAI applications. Lastly, the book presents an in-depth analysis of the security challenges and potential solutions specific to GenAI, and a forward-looking view of how it can redefine cybersecurity practices. By addressing these topics, it provides answers to questions on how to secure GenAI applications, as well as vital support with understanding and navigating the complex and ever-evolving regulatory environments, and how to build a resilient GenAI security program. The book offers actionable insights and hands-on resources for anyone engaged in the rapidly evolving world of GenAI and cybersecurity.

Generative Ai For Cloud Solutions

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Author : Paul Singh
language : en
Publisher: Packt Publishing Ltd
Release Date : 2024-04-22

Generative Ai For Cloud Solutions written by Paul Singh and has been published by Packt Publishing Ltd this book supported file pdf, txt, epub, kindle and other format this book has been release on 2024-04-22 with Computers categories.

Explore Generative AI, the engine behind ChatGPT, and delve into topics like LLM-infused frameworks, autonomous agents, and responsible innovation, to gain valuable insights into the future of AI Key Features Gain foundational GenAI knowledge and understand how to scale GenAI/ChatGPT in the cloud Understand advanced techniques for customizing LLMs for organizations via fine-tuning, prompt engineering, and responsible AI Peek into the future to explore emerging trends like multimodal AI and autonomous agents Purchase of the print or Kindle book includes a free PDF eBook Book DescriptionGenerative artificial intelligence technologies and services, including ChatGPT, are transforming our work, life, and communication landscapes. To thrive in this new era, harnessing the full potential of these technologies is crucial. Generative AI for Cloud Solutions is a comprehensive guide to understanding and using Generative AI within cloud platforms. This book covers the basics of cloud computing and Generative AI/ChatGPT, addressing scaling strategies and security concerns. With its help, you’ll be able to apply responsible AI practices and other methods such as fine-tuning, RAG, autonomous agents, LLMOps, and Assistants APIs. As you progress, you’ll learn how to design and implement secure and scalable ChatGPT solutions on the cloud, while also gaining insights into the foundations of building conversational AI, such as chatbots. This process will help you customize your AI applications to suit your specific requirements. By the end of this book, you’ll have gained a solid understanding of the capabilities of Generative AI and cloud computing, empowering you to develop efficient and ethical AI solutions for a variety of applications and services.What you will learn Get started with the essentials of generative AI, LLMs, and ChatGPT, and understand how they function together Understand how we started applying NLP to concepts like transformers Grasp the process of fine-tuning and developing apps based on RAG Explore effective prompt engineering strategies Acquire insights into the app development frameworks and lifecycles of LLMs, including important aspects of LLMOps, autonomous agents, and Assistants APIs Discover how to scale and secure GenAI systems, while understanding the principles of responsible AI Who this book is for This artificial intelligence book is for aspiring cloud architects, data analysts, cloud developers, data scientists, AI researchers, technical business leaders, and technology evangelists looking to understanding the interplay between GenAI and cloud computing. Some chapters provide a broad overview of GenAI, which are suitable for readers with basic to no prior AI experience, aspiring to harness AI's potential. Other chapters delve into technical concepts that require intermediate data and AI skills. A basic understanding of a cloud ecosystem is required to get the most out of this book.

Protecting Information Assets And It Infrastructure In The Cloud

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Author : Ravi Das
language : en
Publisher: CRC Press
Release Date : 2023-12-19

Protecting Information Assets And It Infrastructure In The Cloud written by Ravi Das and has been published by CRC Press this book supported file pdf, txt, epub, kindle and other format this book has been release on 2023-12-19 with Computers categories.

This book is a second edition. The last one reviewed the evolution of the Cloud, important Cloud concepts and terminology, and the threats that are posed on a daily basis to it. A deep dive into the components of Microsoft Azure were also provided, as well as risk mitigation strategies, and protecting data that resides in a Cloud environment. In this second edition, we extend this knowledge gained to discuss the concepts of Microsoft Azure. We also examine how Microsoft is playing a huge role in artificial intelligence and machine learning with its relationship with OpenAI. An overview into ChatGPT is also provided, along with a very serious discussion of the social implications for artificial intelligence.

Azure Openai Essentials

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Author : Amit Mukherjee
language : en
Publisher: Packt Publishing Ltd
Release Date : 2025-02-27

Azure Openai Essentials written by Amit Mukherjee and has been published by Packt Publishing Ltd this book supported file pdf, txt, epub, kindle and other format this book has been release on 2025-02-27 with Computers categories.

Build innovative, scalable, and ethical AI solutions by harnessing the full potential of generative AI with this exhaustive guide Key Features Explore the capabilities of Azure OpenAI’s LLMs Craft end-to-end applications by utilizing the synergy of Azure OpenAI and Cognitive Services Design enterprise-grade GenAI solutions with effective prompt engineering, fine-tuning, and AI safety measures Purchase of the print or Kindle book includes a free PDF eBook Book DescriptionFind out what makes Azure OpenAI a robust platform for building AI-driven solutions that can transform how businesses operate. Written by seasoned experts from Microsoft, this book will guide you in understanding Azure OpenAI from fundamentals through to advanced concepts and best practices. The book begins with an introduction to large language models (LLMs) and the Azure OpenAI Service, detailing how to access, use, and optimize its models. You'll learn how to design and implement AI-driven solutions, such as question-answering systems, contact center analytics, and GPT-powered search applications. Additionally, the chapters walk you through advanced concepts, including embeddings, fine-tuning models, prompt engineering, and building custom AI applications using LangChain and Semantic Kernel. You'll explore real-world use cases such as QnA systems, document summarizers, and SQLGPT for database querying, as well as gain insights into securing and operationalizing these solutions in enterprises. By the end of this book, you'll be ready to design, develop, and deploy scalable AI solutions, ensuring business success through intelligent automation and data-driven insights.What you will learn Understand the concept of large language models and their capabilities Interact with different models in Azure OpenAI using APIs or web interfaces Use content filters and mitigations to prevent harmful content generation Develop solutions with Azure OpenAI for content generation, summarization, semantic search, NLU, code and image generation and analysis Integrate Azure OpenAI with other Azure Cognitive services for enhanced functionality Apply best practices for data privacy, security, and prompt engineering with Azure OpenAI Who this book is for This book is for software developers, data scientists, AI engineers, ML engineers, system architects, LLM engineers, IT professionals, product managers, and business professionals who want to learn how to use Azure OpenAI to create innovative solutions with generative AI. To fully benefit from this book, you must have both an Azure subscription and Azure OpenAI access, along with knowledge of Python.

Azure Ai 102 Certification Essentials

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Author : Peter T. Lee
language : en
Publisher: Packt Publishing Ltd
Release Date : 2025-08-14

Azure Ai 102 Certification Essentials written by Peter T. Lee and has been published by Packt Publishing Ltd this book supported file pdf, txt, epub, kindle and other format this book has been release on 2025-08-14 with Computers categories.

Go beyond AI-102 certification by mastering the foundations of Azure AI concepts and services—reinforced through practical labs and real-world examples. Key Features Solidify your understanding with targeted questions at the end of each chapter Assess your knowledge of key concepts with over 45 exam-style questions, complete with detailed explanations Get hands-on experience with GitHub projects, along with ongoing support from the author on GitHub Purchase of the print or Kindle book includes a free PDF eBook Book DescriptionWritten by a seasoned solutions architect and Microsoft AI professional with over 25 years of IT experience, Azure AI-102 Certification Essentials will help you gain the skills and knowledge needed to confidently pass the Azure AI-102 certification exam and advance your career. This comprehensive guide covers all of the exam objectives, from designing AI solutions to integrating AI models into Azure services. By combining theoretical concepts with visual examples, hands-on exercises, and real-world use cases, the chapters teach you how to effectively apply your new-found knowledge. The book emphasizes responsible AI practices, addressing fairness, reliability, privacy, and security, while guiding you through testing AI models with diverse data and navigating legal considerations. Featuring the latest Azure AI tools and technologies, each chapter concludes with hands-on exercises to reinforce your learning, culminating in Chapter 11's comprehensive set of 45 mock questions that simulate the actual exam and help you assess your exam readiness. By the end of this book, you'll be able to confidently design, implement, and integrate AI solutions on Azure, while achieving this highly sought-after certification.What you will learn Learn core concepts relating to AI, LLMs, NLP, and generative AI Build and deploy with Azure AI Foundry, CI/CD, and containers Manage and secure Azure AI services with built-in tools Apply responsible AI using Azure AI Content Safety Perform OCR and analysis with Azure AI Vision Build apps with the Azure AI Language and Speech services Explore knowledge mining with Azure AI Search and Content Understanding Implement RAG and fine-tuning with Azure OpenAI Build agents using Azure AI Foundry Agent Service and Semantic Kernel Who this book is for If you're preparing for the Azure AI-102 certification exam, this book is for you. Developers, engineers, and career transitioners moving from traditional software development to AI-focused roles can use this guide to deepen their understanding of AI within the Azure ecosystem. This book is also beneficial for students and educators looking to apply AI/ML concepts using Azure. No prior experience in AI/ML is required as this book provides comprehensive coverage of exam topics with detailed explanations, practical examples, and hands-on exercises to build your confidence and expertise.