Centralized event and log data collection
Effectiveness of real-time centralized event and log data collection
Cat avg: 8.5
Top Performing Features
Correlation
Correlation of logs and events to pinpoint significant threats
Cat avg: 8.4
Rules-based and algorithmic detection thresholds
Effectiveness of manually-established rules and algorithmically-determined detection thresholds
Cat avg: 8.3
Response orchestration and automation
Quality of built-in response orchestration and automation in Next-Gen SIEM
Cat avg: 7.6
Worst Performing Features
Deployment flexibility
Ability to tune system to maximize threat detection and minimize false positives
Cat avg: 7.4
Reporting and compliance management
Ease and quality of reporting and compliance functions
Cat avg: 8.5
Data integration/API management
Ease and quality of data integrations between SIEM and other systems
Cat avg: 8
Microsoft Sentinel Features from Reviews
Security Information and Event Management (SIEM)
Security Information and Event Management is a category of security software that allows security analysts to look at a more comprehensive view of security logs and events than would be possible by looking at the log files of individual, point security tools
8.10%
Centralized event and log data collection
Effectiveness of real-time centralized event and log data collection
Category average: 8.5
Correlation
Correlation of logs and events to pinpoint significant threats
Category average: 8.4
Event and log normalization/management
Ability to normalize event syntax so that logs can be compared and are machine-understandable
Category average: 8.6
Deployment flexibility
Ability to tune system to maximize threat detection and minimize false positives
Category average: 7.4
Integration with Identity and Access Management Tools
Integration with access control tools like Active Directory and LDAP
Category average: 8.1
Custom dashboards and workspaces
dashboards that can be customized to meet the needs of specific groups
Category average: 8.4
Host and network-based intrusion detection
Ability to detect both endpoint intrusion and network ingress detection
Category average: 8.1
Data integration/API management
Ease and quality of data integrations between SIEM and other systems
Category average: 8
Behavioral analytics and baselining
How effectively activity and behavior baselines are established and maintained
Category average: 7.6
Rules-based and algorithmic detection thresholds
Effectiveness of manually-established rules and algorithmically-determined detection thresholds
Category average: 8.3
Response orchestration and automation
Quality of built-in response orchestration and automation in Next-Gen SIEM
Category average: 7.6
Reporting and compliance management
Ease and quality of reporting and compliance functions
Category average: 8.5
Incident indexing/searching
Effectiveness of searching across structured and unstructured events and incidents within SIEM
Category average: 8.2
Microsoft Sentinel Features from the Vendor
Security Information and Event Management (SIEM)
Vendor-reviewedCentralized event and log data collection
Effectiveness of real-time centralized event and log data collection
Correlation
Correlation of logs and events to pinpoint significant threats
Event and log normalization/management
Ability to normalize event syntax so that logs can be compared and are machine-understandable
Deployment flexibility
Ability to tune system to maximize threat detection and minimize false positives
Integration with Identity and Access Management Tools
Integration with access control tools like Active Directory and LDAP
Custom dashboards and workspaces
dashboards that can be customized to meet the needs of specific groups
Host and network-based intrusion detection
Ability to detect both endpoint intrusion and network ingress detection
Log retention
Length and quality of log storage and archiving over time
Data integration/API management
Ease and quality of data integrations between SIEM and other systems
Behavioral analytics and baselining
How effectively activity and behavior baselines are established and maintained
Rules-based and algorithmic detection thresholds
Effectiveness of manually-established rules and algorithmically-determined detection thresholds
Response orchestration and automation
Quality of built-in response orchestration and automation in Next-Gen SIEM
Incident indexing/searching
Effectiveness of searching across structured and unstructured events and incidents within SIEM