Microsoft Sentinel Data Connectors
GPTKB entity
Statements (74)
Predicate | Object |
---|---|
gptkbp:instance_of |
gptkb:networking
|
gptkbp:allows |
Custom connectors
|
gptkbp:can_be_configured_for |
Generate reports
Log analytics Alert thresholds Send alerts |
gptkbp:can_be_used_for |
Vulnerability management
|
gptkbp:can_be_used_to |
Automate compliance checks
Automate incident response Correlate security events |
gptkbp:enables |
Integration with third-party services
Compliance reporting Data enrichment Cross-platform data integration |
gptkbp:enables_visibility_into |
Cloud environments
|
gptkbp:enhances |
Threat detection
|
gptkbp:facilitates |
Automated data collection
|
https://www.w3.org/2000/01/rdf-schema#label |
Microsoft Sentinel Data Connectors
|
gptkbp:includes |
Built-in connectors
|
gptkbp:integrates_with |
gptkb:Microsoft_365
|
gptkbp:is_available_in |
gptkb:Azure_Marketplace
|
gptkbp:is_compatible_with |
Third-party applications
Azure services Various data formats |
gptkbp:is_designed_for |
Security operations teams
|
gptkbp:is_designed_to |
Reduce response time
Enhance security posture |
gptkbp:is_essential_for |
Risk assessment
Data compliance Threat hunting Threat detection and response |
gptkbp:is_integrated_with |
gptkb:Microsoft_Defender
SIEM solutions Incident response tools |
gptkbp:is_monitored_by |
Data quality
|
gptkbp:is_part_of |
gptkb:Microsoft_Azure
Threat intelligence Security automation tools Incident response strategy Data security framework Security operations center (SOC) tools |
gptkbp:is_updated_by |
New data sources
|
gptkbp:is_used_for |
Incident response
Incident management Network security monitoring |
gptkbp:is_used_in |
Security analytics
|
gptkbp:is_used_to |
Detect anomalies
Identify security trends |
gptkbp:is_utilized_by |
Security analysts
IT security teams |
gptkbp:is_utilized_for |
Data analysis and reporting
Data correlation |
gptkbp:offers |
Real-time data analysis
|
gptkbp:part_of |
gptkb:Microsoft_Sentinel
|
gptkbp:provides |
Data visualization
Real-time monitoring User behavior analytics Centralized logging Data ingestion Historical data analysis User activity monitoring Data normalization |
gptkbp:provides_access_to |
Security alerts
|
gptkbp:supports |
Data retention policies
Multi-cloud environments User-defined rules Data classification Automated workflows Security information and event management (SIEM) API-based data sources |
gptkbp:supports_data_from |
On-premises systems
|
gptkbp:utilizes |
REST APIs
|
gptkbp:bfsParent |
gptkb:Microsoft
|
gptkbp:bfsLayer |
4
|