Microsoft Sentinel

E730139

SIEM platform SOAR platform cloud-native security information and event management solution security orchestration automation and response solution

Microsoft Sentinel is a cloud-native security information and event management (SIEM) and security orchestration, automation, and response (SOAR) solution on Azure that helps organizations detect, investigate, and respond to threats at scale.

Try in SPARQL Jump to: Surface forms Statements Referenced by

All labels observed (2)

Label	Occurrences
Microsoft Sentinel canonical	3
Log Analytics	1

Statements (57)

Predicate	Object
instanceOf	SIEM platform ⓘ SOAR platform ⓘ cloud-native security information and event management solution ⓘ security orchestration automation and response solution ⓘ
category	cybersecurity product ⓘ incident response platform ⓘ security monitoring tool ⓘ threat detection platform ⓘ
dataIngestionModel	pay-per-GB ingested ⓘ
deploymentModel	cloud-native ⓘ
developedBy	Microsoft ⓘ
hostPlatform	Azure NERFINISHED ⓘ
integratesWith	Azure Active Directory NERFINISHED ⓘ Microsoft 365 NERFINISHED ⓘ Microsoft 365 Defender NERFINISHED ⓘ Microsoft Defender for Cloud NERFINISHED ⓘ Microsoft Defender for Endpoint NERFINISHED ⓘ cloud platforms ⓘ endpoint protection platforms ⓘ firewalls ⓘ identity providers ⓘ third-party security solutions ⓘ
licensingModel	consumption-based pricing ⓘ
partOf	Microsoft Azure NERFINISHED ⓘ
provides	alerting and notification ⓘ case management for incidents ⓘ centralized security event analysis ⓘ centralized security event collection ⓘ dashboards and workbooks for security monitoring ⓘ
runsOn	Microsoft Azure NERFINISHED ⓘ
securityDomain	incident management ⓘ security operations ⓘ threat detection and response ⓘ
supportsCapability	alert correlation ⓘ automated incident response ⓘ hunting queries ⓘ integration with threat intelligence feeds ⓘ log analytics ⓘ playbook automation ⓘ security analytics ⓘ security information and event management ⓘ security orchestration automation and response ⓘ threat detection ⓘ threat investigation ⓘ threat response ⓘ user and entity behavior analytics ⓘ
supportsEnvironment	hybrid cloud environments ⓘ multi-cloud environments ⓘ on-premises data sources via connectors ⓘ
targetUser	incident responders ⓘ security analysts ⓘ security operations center teams ⓘ threat hunters ⓘ
usesTechnology	Azure Logic Apps NERFINISHED ⓘ Azure Monitor Logs NERFINISHED ⓘ Kusto Query Language NERFINISHED ⓘ machine learning-based analytics ⓘ

How these facts were elicited

The pipeline generated the facts above by prompting gpt-5.1 with this entity's name + description and the instruction below.

Instruction

You are a knowledge base construction expert. Given a subject entity and a description of it, return factual statements that you know for the subject as a JSON list of dictionaries(triples), where keys must be "subject", "predicate" and "object". The number of facts may be very high, between 25 to 50 or more, for very popular subjects. For less popular subjects, the number of facts can be very low, like 5 or 10.

# Requirements
- If you don't know the subject at all, return an empty list.
- If the subject is not a named entity, return an empty list.
- Include at least one triple where predicate is "instanceOf".
- Do not get too wordy.
- Separate several objects into multiple triples with one object.

Input

Subject: Microsoft Sentinel
Description of subject: Microsoft Sentinel is a cloud-native security information and event management (SIEM) and security orchestration, automation, and response (SOAR) solution on Azure that helps organizations detect, investigate, and respond to threats at scale.

Referenced by (4)

Full triples — surface form annotated when it differs from this entity's canonical label.

Microsoft Defender for Endpoint → integratesWith → Microsoft Sentinel ⓘ

Azure Monitor → hasComponent → Microsoft Sentinel ⓘ

this entity surface form: Log Analytics

Microsoft Defender for Identity → integratesWith → Microsoft Sentinel ⓘ

Microsoft Defender for Cloud Apps → integratesWith → Microsoft Sentinel ⓘ