Azure Application registrations, Enterprise Apps, and managed identities - adatumThis post provides information on Azure application registrations, enterprise applications, and managed identities. It explains the purpose of application registrations and the trust relationship established between Microsoft's identity platform and custom applications. It also discusses enterprise applications as the application identity within Azure AD and the relationship between app registrations and enterprise applications. Additionally, the post covers managed identities and their role in assigning identities to Azure resources. The author aims to clarify these concepts in the context of authentication in Azure.
ChatGPTNextWeb/ChatGPT-Next-Web: A cross-platform ChatGPT/Gemini UI (Web / PWA / Linux / Win / MacOS). 一键拥有你自己的跨平台 ChatGPT/Gemini 应用。ChatGPT Next Web is a cross-platform ChatGPT/Gemini UI that allows users to deploy a well-designed ChatGPT web UI with support for GPT3, GPT4, and Gemini Pro models. It offers features such as one-click deployment, compact client for Linux/Windows/MacOS, compatibility with self-deployed LLMs, privacy-first data storage, markdown support, responsive design, and support for multiple languages. The roadmap includes features like system prompts, user prompts, prompt templates, image sharing, desktop app with Tauri, self-hosted models, and plugins. The project provides documentation, FAQs, and instructions for development and deployment.
Use Azure Automation and PowerShell to Create a Daily Microsoft Entra Risk Report | Practical365This article explains how to use Azure Automation and PowerShell to create a daily Microsoft Entra risk report. By automating the process, administrators can monitor risk events, gather data, format it into an HTML report, and send it via email. The report includes information on risk detections, risky users, and risky service principals, providing visibility into identity-based attacks and allowing for timely action. The article provides step-by-step instructions on setting up the Azure Automation account, assigning necessary permissions, installing required Microsoft Graph PowerShell SDK modules, adding the code, reviewing the report, and scheduling the script to run daily.