Event and log normalization/management
Ability to normalize event syntax so that logs can be compared and are machine-understandable
Cat avg: 8.5
Top Performing Features
Correlation
Correlation of logs and events to pinpoint significant threats
Cat avg: 8.4
Centralized event and log data collection
Effectiveness of real-time centralized event and log data collection
Cat avg: 9
Data integration/API management
Ease and quality of data integrations between SIEM and other systems
Cat avg: 8.1
Worst Performing Features
Host and network-based intrusion detection
Ability to detect both endpoint intrusion and network ingress detection
Cat avg: 7.4
Behavioral analytics and baselining
How effectively activity and behavior baselines are established and maintained
Cat avg: 7.5
Custom dashboards and workspaces
dashboards that can be customized to meet the needs of specific groups
Cat avg: 8
Splunk Enterprise 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
7.1-11%
Centralized event and log data collection
Effectiveness of real-time centralized event and log data collection
Category average: 9
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: 8.5
Deployment flexibility
Ability to tune system to maximize threat detection and minimize false positives
Category average: 7.7
Integration with Identity and Access Management Tools
Integration with access control tools like Active Directory and LDAP
Category average: 7.7
Custom dashboards and workspaces
dashboards that can be customized to meet the needs of specific groups
Category average: 8
Host and network-based intrusion detection
Ability to detect both endpoint intrusion and network ingress detection
Category average: 7.4
Data integration/API management
Ease and quality of data integrations between SIEM and other systems
Category average: 8.1
Behavioral analytics and baselining
How effectively activity and behavior baselines are established and maintained
Category average: 7.5
Rules-based and algorithmic detection thresholds
Effectiveness of manually-established rules and algorithmically-determined detection thresholds
Category average: 8.2
Response orchestration and automation
Quality of built-in response orchestration and automation in Next-Gen SIEM
Category average: 7.1
Reporting and compliance management
Ease and quality of reporting and compliance functions
Category average: 8.3
Incident indexing/searching
Effectiveness of searching across structured and unstructured events and incidents within SIEM
Category average: 8.8