Microsoft's cloud-native SIEM and SOAR solution built on Azure. It ingests data from across hybrid and multi-cloud environments, applying AI and automation to detect, investigate, and respond to threats at scale.

Microsoft Sentinel is a cloud-native SIEM and SOAR platform built on Azure, designed to provide security operations teams with a scalable, AI-augmented alternative to traditional on-premise SIEM deployments. It ingests data from across hybrid and multi-cloud environments using a library of built-in connectors, normalizing that data into a common schema for unified analysis. Sentinel's detection engine runs analytics rules, machine learning models, and threat intelligence correlation continuously against the ingested data, generating incidents that represent high-confidence threats rather than raw alert noise. Its built-in SOAR capabilities allow teams to automate investigation and response steps through playbooks triggered by incident creation. Microsoft Copilot for Security integration brings natural language querying and AI-assisted investigation to the platform, reducing the expertise barrier for complex threat hunting tasks.
Qevlar integrates with Microsoft Sentinel to receive incidents and to contribute investigation results back into the platform. When Sentinel surfaces a high-priority incident, Qevlar can automatically enrich it with context from across the security stack, resolving a significant portion of the investigation work before a human analyst opens the case.