By NETIKUS.NET ltd
How would you rate your experience with EventSentry?
Activity Monitoring
Based on 22 EventSentry 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 19 EventSentry 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 24 EventSentry 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 15 EventSentry 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 11 EventSentry 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 20 EventSentry reviews and verified by the G2 Product R&D team.
Documents cases of abnormal activity and compromised systems.
Threat Intelligence
Based on 18 EventSentry 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
As reported in 18 EventSentry reviews.
Analyzes your existing network and IT infrastructure to outline access points that can be easily compromised.
Advanced Analytics
Allows users to customize analytics with granulized metrics that are pertinent to your specific resources.
Data Examination
19 reviewers of EventSentry have provided feedback on this feature.
Allows users to search databases and incident logs to gain insights on vulnerabilities and incidents.
Dashboards and Visualizations
Presents information and analytics in a digestible, intuitive, and visually appealing way.
Alerts and Notifications
Clearly notifies users with relevant information and anomalies in a timely manner.
Reporting
Creates reports outlining log activity and relevant metrics.
Automation
Automatically allocates resources to address log anomalies.
Performance Baseline
Sets a standard performance baseline by which to compare log activity.
Real-Time Monitoring
Constantly monitors logs to detect anomalies in real time.
Data Sources
This feature was mentioned in 12 EventSentry reviews.
Automatically collect logs from all your services, applications, and platforms
Indexing
12 reviewers of EventSentry have provided feedback on this feature.
Automate the indexing of machine data that's critical to your operations
Automated Tagging
As reported in 10 EventSentry reviews.
See log data in context with automated tagging and correlation
Data Blending
This feature was mentioned in 11 EventSentry reviews.
Mix and match data from apps, hosts, containers, services, networks, and more
Track Trends
11 reviewers of EventSentry have provided feedback on this feature.
Allows user to track log trends.
Detect Anomalies
Identify and predict anomalies in real-time with outlier detection and uncover root-causes
Metric and Event Data
As reported in 11 EventSentry reviews.
Analyze both metric and event data on the same platform regardless of source or structure
Search
This feature was mentioned in 10 EventSentry reviews.
Search your logs for troubleshooting and open-ended exploration of your data
Alerts
Create alerts based on search patterns, thresholds for specific log metrics, or other conditions
Live Tail
See your data, in real time, streaming into the system from multiple data sources
Dashboards
Visualize log data on dashboards
Data Discovery
Drill down and explore data to discover new insights
Autonomous Task Execution
Capability to perform complex tasks without constant human input
Multi-step Planning
Ability to break down and plan multi-step processes
Proactive Assistance
Anticipates needs and offers suggestions without prompting
Decision Making
Makes informed choices based on available data and objectives
Cross-system Integration
Works across multiple software systems or databases
Adaptive Learning
Improves performance based on feedback and experience
Natural Language Interaction
Engages in human-like conversation for task delegation