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Microsoft Discovery is an extensible platform that brings together agentic orchestration, advanced reasoning, a graph-based knowledge foundation, and high-performance computing for scientific research and R&D workflows.
Microsoft Discovery is an AI-powered platform for scientific research and engineering, designed to accelerate discovery across pharmaceuticals, materials science, chemicals, semiconductors, energy, and advanced manufacturing. The platform supports the full research lifecycle—from understanding existing knowledge to designing, testing, and refining new ideas. Below are the core scenarios ...
Set up Microsoft Discovery infrastructure by creating a supercomputer, workspace, project, agents, investigations, and then run your first AI-powered scientific investigation.
The Discovery Engine is the cognitive backbone of Microsoft Discovery. It operates as an autonomous research partner that plans work, delegates to specialized agents, monitors progress, and adapts when results come back differently than expected. Instead of responding to individual prompts in a chat window, the engine runs continuously in the background while you focus on the scientific ...
Discovery is an online platform with human oversight. Researchers can change, edit, and kick off runs as needed. We're thinking about extending Microsoft Discovery to digital twins and lab automation using natural language, giving researchers more access to lab processes.
Learn about Microsoft Discovery Studio, a web-based research environment built on Visual Studio Code for the web that enables scientists and engineers to work with AI agents, investigations, and scientific tools in a customizable interface.
In this tutorial, you create an investigation, set up a small set of tasks, enable Discovery Mode, and observe how the Discovery Engine executes your work autonomously. By the end, you have a completed investigation with results that were planned, executed, and validated using cognition.
Configure discovery methods to find resources to manage from your network, Active Directory, and Microsoft Entra ID.
Arc-based discovery is a discovery method in Azure Migrate that uses your existing Azure Arc infrastructure to automatically discover and assess Arc-enabled resources for migration to Azure. Unlike appliance-based discovery, Arc-based discovery requires no other on-premises deployments and uses native integration between Azure Migrate and Azure ...
Learn how Microsoft Defender External Attack Surface Management (Defender EASM) uses proprietary discovery technology to continuously define your organization’s unique internet-exposed attack surface.
Device discovery is designed to reduce blind spots in your environment, making it easier to identify, assess, and secure devices that could otherwise introduce risk. The feature works as an out-of-the-box Defender for Endpoint capability, with advanced configuration available for deeper insights and custom scenarios.
This article describes the differences between discovery capabilities in Defender for Cloud Apps and Cloud App Discovery (part of Microsoft Entra ID).
Application discovery lets administrators see which applications people use on their corporate network. By identifying who uses which applications, administrators can create private applications with precise segmentation and least privilege access, so users only get the access they need. With Quick Access, you can quickly onboard to Private Access by publishing wide IP ranges and wildcard ...
Microsoft Purview offers three eDiscovery tools that you can use to search for and export content found in different locations such as Exchange mailboxes, SharePoint and OneDrive for Business sites, Microsoft 365 Groups, Microsoft Teams, and Skype for Business conversations. eDiscovery (Standard) and eDiscovery (Premium) provide many additional features to help you manage your investigations.
Data Discovery & Classification is built into Azure SQL Database, Azure SQL Managed Instance, and Azure Synapse Analytics. It provides basic capabilities for discovering, classifying, labeling, and reporting the sensitive data in your databases. Your most sensitive data might include business, financial, healthcare, or personal information.
Data Discovery & Classification - Azure SQL Database & Azure SQL ...
Keywords help you narrow down the specific content that you produce through export for an eDiscovery case. By creating focused searches, you increase the likelihood that content is applicable to a case, and reduce the amount of content that you need to manage.
The OpenID discovery document contains the public keys that can be used to validate the signature of the token**.** The x5c property in the JSON Web Key (JWK) set returned by the OpenID discovery document contains the public key in the form of an X.509 certificate.
Sensitive data discovery is available in the Defender Cloud Security Posture Management (CSPM), Defender for Storage, and Defender for Databases plans. When you enable one of the plans, the sensitive data discovery extension turns on as part of the plan. If you have existing plans running, the extension is available, but turns off by default. Existing plan status shows as "Partial" rather than ...