☑ Delivers a SIEM solution with endpoint monitoring, network forensics, UEBA and incident management capabilities to support Security Operations plus advanced threat monitoring and rapid incident responses. Other enhancements have included improvements to the risk-based prioritization (RBP) scoring algorithm additional parsers for applications and protocols for Network Monitor support for cloud services such as AWS, Box and Okta and integrations with cloud access security broker (CASB) solutions including Microsoft's Cloud App Security (formerly Adallom) and Zscaler.Īrmana believes LogRhythm is an excellent fit for Organizations that require advanced and integrated threat monitoring capabilities within a SIEM solution and for those Businesses that have resource challenged security teams that need a high degree of automation and out-of-the-box functionality. LogRhythm separated out the log processing and indexing capabilities of its SIEM product to form two separate components added a storage back end based on ElasticSearch to provide an unstructured search capabilities and clustered full data replication. LogRhythm combines event, endpoint and network monitoring capabilities with User and Entity Behaviour Analytics (UEBA) features, an integrated incident response workflow, and automated response capabilities. They deliver system process, file integrity and NetFlow monitoring, deep packet inspection (DPI), and full-packet capture. System Monitor and Network Monitor are options that provide endpoint and network forensic capabilities when deployed. A consolidated all-in-one deployment is also available. It supports a N-Tier scalable architecture comprising a Platform Manager, AI Engine, Data Processors, Data Indexers and Data Collectors. LogRhythm's SIEM may be deployed as an Appliance, Software or Virtual Instance Format. It's market recognition is demonstrated by the "market leader" position it occupies in the Gartner Magic Quadrant graph shown to the side. LogRhythm's SIEM technology achieves the above functionalities and is an ideal solution for midsize and large Organizations. That Data is then normalized so that events, contextual information and data from it's various sources can be correlated and analysed for the purpose of Network Security Event and User Activity Monitoring and Compliance Reporting.įinally, SIEMs provide real-time correlation of events for security examination, querying and analytic purposes for Historical Analysis and to support Incident Investigation and Compliance Reporting. In operation the SIEM's event data is combined with contextual information about Users, Assets, Threats and Vulnerabilities. The main source of a SIEM's information is Log Data, however it can also process other forms of data i.e. In general, SIEM technologies aggregate event data extracted from Applications, Security Devices, Network Infrastructures and Systems. Furthermore, SIEMs need to capture, store, examine and report on Log Data for Incident Response, Data Forensics and Regulatory Compliance. Security Information and Event Management (SIEM) technologies are designed to meet an Organisation's need to analyse in real-time Event Data for the early detection of targeted Cyber Attacks and Data Breaches.
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