Microsoft Sentinel

Microsoft Sentinel is a cloud-native SIEM and SOAR platform built on Azure. It aggregates security data from across an organization's infrastructure — including users, applications, servers, and devices running in the cloud or on-premises — and applies built-in AI and machine learning to detect threats, reduce false positives, and automate response through playbooks.

What it does

Sentinel ingests log and event data from a wide range of sources via native connectors, including Microsoft services (Entra ID, Defender, Office 365) and third-party firewalls, EDR tools, and cloud platforms. Its analytics engine correlates signals across these sources to surface high-fidelity alerts. Security teams can investigate incidents using interactive workbooks and hunting queries written in KQL (Kusto Query Language). Response actions can be automated with logic apps playbooks, enabling SOAR workflows such as isolating devices, blocking IPs, or opening tickets without manual intervention.

Limitations

• Azure dependency: Core functionality requires an Azure subscription; data ingestion and retention costs scale with log volume, making large-scale deployments expensive.
• KQL learning curve: Advanced hunting and custom analytics require proficiency in Kusto Query Language, which differs from standard SQL or Splunk SPL.
• On-premises blind spots: While agents exist for hybrid coverage, Sentinel is architected for cloud-centric workloads; air-gapped or legacy OT networks may need additional gateways or log forwarders.
• Connector maturity: Some third-party connectors lack deep bidirectional integration compared to native Microsoft ecosystem integrations.