Detection of anomalies in user and system behavior.
This use case examines the vendor's ability to detect unusual behavior patterns that may indicate a security threat. It assesses the effectiveness of user and entity behavior analytics (UEBA) and related technologies in identifying potential security incidents.
We’ve listed the products and solutions that commonly address the Behavioral Anomaly Detection use case below.
Expel's MDR service provides 24/7 monitoring, threat detection, and incident response.
Managed Detection and Response service with 24/7 threat monitoring and response.
24/7 monitoring and threat detection with expert-led response.
24/7 threat monitoring and incident response.
Managed extended detection and response service enhancing SOC capabilities.
24/7 threat monitoring and response service.
Managed Detection and Response service providing 24/7 threat detection and response.
Kroll Responder MDR provides 24/7 threat detection and complete incident response services.
Comprehensive cybersecurity solution with 24/7 monitoring and threat detection.
A robust MDR solution with 24/7 threat monitoring and response.
A comprehensive cybersecurity solution with 24/7 monitoring and threat detection.
A comprehensive Managed Detection and Response solution.
24/7 threat monitoring and response service by Cybereason.
Rapid7 Managed Detection and Response (MDR) offers 24/7 monitoring, threat detection, and incident response services.
Comprehensive MDR solution with proactive security intelligence.
Comprehensive security solution offering 24/7 monitoring and incident response.
24/7 managed threat hunting service by Unit 42 experts.
Advanced threat detection and response solution by Red Canary.
A comprehensive managed detection and response service.
Comprehensive MDR solution offering 24/7 threat monitoring and incident response.
Comprehensive managed detection and response service.
Customize these feature priorities in Taloflow and get expert ratings for 15 different vendors and solutions, including None.
| Feature | Dimensions | Description | Priority |
|---|---|---|---|
| Anomaly Detection Engine |
|
Utilizes statistical and machine learning models to identify unusual patterns in network traffic and system behavior. | Important |
Taloflow does not guarantee the accuracy of any information on this page including (but not limited to) information about 3rd party software, product pricing, product features, product compliance standards, and product integrations. All product and company names and logos are trademarks™ or registered® trademarks of their respective holders. Use of them does not imply any affiliation or endorsement. Vendor views are not represented in any of our sites, content, research, questionnaires, or reports.