Microsoft Sentinel is a cloud-native security information and event management (SIEM) and security orchestration, automation, and response (SOAR) solution designed to aggregate and analyze security data across hybrid environments. It collects data at scale from diverse sources including on-premises infrastructure, multi-cloud platforms, applications, and devices using built-in connectors or custom integrations. Sentinel employs advanced analytics powered by machine learning and Microsoft's threat intelligence to detect anomalies, identify threats in real-time through near-real-time (NRT) rules, and correlate alerts into incidents using frameworks like MITRE ATT&CK for tactical coverage. It provides investigation tools for threat hunting with interactive visualization of attack patterns and integrates Jupyter notebooks for custom machine learning analysis. Automated response is enabled via Azure Logic Apps playbooks to triage incidents and execute workflows such as alert suppression or system remediation. The platform supports data normalization through the Advanced Security Information Model (ASIM) for unified querying and incorporates dynamic data aggregation using Azure Monitor summary rules. Sentinel integrates natively with Azure services like Log Analytics and Microsoft Defender products for extended visibility while offering scalability to handle large-scale enterprise security operations.
