Microsoft Sentinel SIEM/SOAR

Analytics rules, UEBA, playbooks that respond.

Detection is only as good as what happens after an alert fires. Microsoft Sentinel is the cloud-native SIEM and SOAR that ingests signals across your estate, turns them into incidents, and automates response — the difference between spotting an incident and containing one.

Ingest, detect, correlate

Sentinel connects to Entra ID sign-in and audit logs, Defender for Cloud alerts, Azure Activity, Office 365, network and firewall logs, and third-party sources, landing them in a Log Analytics workspace. Analytics rules — scheduled KQL queries and near-real-time detections — turn suspicious patterns into incidents, while UEBA baselines user and entity behavior to catch impossible travel, unusual access, and subtle account compromise that static rules miss. The result is a single, correlated incident queue instead of a dozen disconnected consoles.

// Analytics rule (KQL): mass secret reads from one identity in 5 minutes.
KeyVaultData
| where OperationName == "SecretGet"
| summarize reads = count() by CallerIPAddress, identity_claim_upn_s, bin(TimeGenerated, 5m)
| where reads > 50   // threshold → raises a Sentinel incident
 
// A playbook (Logic App) on that incident then, automatically:
//   1) disables the user (Entra),  2) revokes sign-in sessions,
//   3) posts to the SecOps channel and opens a ticket.

Automate response, tune for signal

Playbooks — Logic Apps triggered by incidents — turn detection into containment: disable a user, isolate a VM with a deny-all NSG, revoke sessions, or open a ticket, in seconds and without waiting for a human. Treat alert quality as first-class: tune analytics rules, deduplicate, and prioritize by severity and asset criticality so responders act on signal, not noise. Wrap the high-severity paths in rehearsed runbooks so the first real "compromised identity" incident runs a playbook you have practiced.