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LogRhythm is remarkably configurable, which enables rapid development of queries to correlate, filter and find data quickly. Its ability to filter and correlate data provides a fantastic forensic analysis tool, which can be finely tuned to examine any details users need to look at, cross-referencing m ultiple sources. For example, we were able to quickly see anomalous activity on our network by examining trends in login failures and after-hours activity, easily focusing our search to identify specific users. The ability to save complex queries for future use will prove especially efficient in fast-paced IT data centers, particularly for incident response situations, where time is a critical factor. The graphic presentation of the data queries was impressive, one of the best we've seen, painting a clear picture of large and complex data sets. The custom alarm rule setting function provides in-depth functionality in categories of classification, events, login and service rules. Varying thresholds and time requirements can also be set, like number of events before an alarm is triggered, and how often to report. Alarms can be delivered via email, SNMP or in the console.
[TABLE] The reporting functions provide templates to meet most commonly used industry compliance standards for data collection and auditing purposes, such as PCI, SOX, GLBA and HIPAA. The output formats included Crystal Reports, which enables a host of additional options. The graphics formats visually depicting the data correlation were particularly impressive at summarizing trend data in easy-to-digest format.
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Testing methodology: We tested a LogRhythm appliance connected to a lab environment with multiple syslog sources.
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