LogRhythm SIEM Features

Response (4)

Resolution Automation: Based on 46 LogRhythm SIEM reviews. Diagnose and resolve incidents without the need for human interaction.
Resolution Guidance: As reported in 44 LogRhythm SIEM reviews. Guide users through the resolution process and give specific instructions to remedy individual occurrences.
System Isolation: As reported in 45 LogRhythm SIEM reviews. Cuts off network connection or temporarily inactivate applications until incidents are remedied.
Threat Intelligence: Gathers information related to threats in order to gain further information on remedies. 54 reviewers of LogRhythm SIEM have provided feedback on this feature.

Incident Logs: Information on each incident is stored in databases for user reference and analytics. This feature was mentioned in 59 LogRhythm SIEM reviews.
Incident Reports: Produces reports detailing trends and vulnerabilities related to their network and infrastructure. 55 reviewers of LogRhythm SIEM have provided feedback on this feature.
Resource Usage: As reported in 52 LogRhythm SIEM reviews. Analyzes recurring incidents and remedies to ensure optimal resource usage.

Incident Alerts: Based on 57 LogRhythm SIEM reviews. Gives alerts when incidents arise. Some responses may be automated, but users will still be informed.
Database Management: Adminstrators can access and organize data related to incidents to produce reports or make data more navigable. This feature was mentioned in 51 LogRhythm SIEM reviews.
Workflow Management: As reported in 49 LogRhythm SIEM reviews. Administrators can organize workflows to guide remedies to specific situations incident types.
Extensibility: Allows for customized support for hybrid environments
Workflow Automation: Streamline the flow of work processes by establishing triggers and alerts that notify and route information to the appropriate people when their action is required within the compensation process.
Unified Visibility: Provides all-encompassing display and analysis of environments, resources, traffic, and activity across networks.

Activity Monitoring: Based on 76 LogRhythm SIEM reviews and verified by the G2 Product R&D team. Documents the actions from endpoints within a network. Alerts users of incidents and abnormal activities and documents the access point.
Asset Management: Based on 69 LogRhythm SIEM reviews and verified by the G2 Product R&D team. Keeps records of each network asset and its activity. Discovers new assets accessing the network.
Log Management: Based on 76 LogRhythm SIEM reviews and verified by the G2 Product R&D team. Provides security information and stores the data in a secure repository for reference.

Event Management: Based on 78 LogRhythm SIEM reviews and verified by the G2 Product R&D team. Alerts users of incidents and allows users to intervene manually or triggers an automated response.
Automated Response: Based on 71 LogRhythm SIEM reviews and verified by the G2 Product R&D team. Reduces time spent remedying issues manually. Resolves common network security incidents quickly.
Incident Reporting: Based on 75 LogRhythm SIEM reviews and verified by the G2 Product R&D team. Documents cases of abnormal activity and compromised systems.

Threat Intelligence: Based on 73 LogRhythm SIEM reviews and verified by the G2 Product R&D team. Stores information related to common threats and how to resolve them once incidents occur.
Vulnerability Assessment: Based on 65 LogRhythm SIEM reviews and verified by the G2 Product R&D team. Analyzes your existing network and IT infrastructure to outline access points that can be easily compromised.
Advanced Analytics: Based on 70 LogRhythm SIEM reviews and verified by the G2 Product R&D team. Allows users to customize analytics with granulized metrics that are pertinent to your specific resources.
Data Examination: Based on 71 LogRhythm SIEM reviews and verified by the G2 Product R&D team. Allows users to search databases and incident logs to gain insights on vulnerabilities and incidents.

Response Automation: Reduces time spent remedying issues manually. Resolves common network security incidents quickly.
Threat Hunting: Facilitates the proactive search for emerging threats as they target servers, endpoints, and networks.
Rule-Based Detection: Allows administrators to set rules specified to detect issues related to issues such as sensitive data misuse, system misconfiguration, lateral movement, and/or non-compliance.
Real-Time Detection: Constantly monitors system to detect anomalies in real time.

Threat Intelligence: Stores information related to common threats and how to resolve them once incidents occur.
Artificial Intelligence & Machine Learning: Facilitates Artificial Intelligence (AI) such as Machine Learning (ML) to enable data ingestion, performance suggestions, and traffic analysis.
Data Collection: Collects information from multiple sources to cross reference and build contextual to correlate intelligence.