Change Auditor Threat Detection offers a unique approach to user threat detection by modeling individual user behavior patterns to detect anomalous activity that might indicate suspicious users or compromised accounts. By analyzing user activity, using proprietary advanced learning technology, user and entity behavior analytics (UEBA), and sophisticated, scoring algorithms, Change Auditor Threat Detection ranks the highest risk users in your organization, identifies potential user threats and reduces the noise from false positive alerts. Overcome the gaps left behind by native auditing tools and keep your environment secure.
Veriato Recon a User and Entity Behavior Analytics that combines machine learning and advanced statistical analysis to uncover indicators of compromise traditional preventative security measures. The software learns the behavior patterns in your company, and evaluates changes versus historical self and peer groups. All changes in behavior are identified in near real-time, and compared to sensitivity settings you control for prioritization. Automatically, alerts are triggered on anomalies most indicative of insider threat in an organization, and rich activity data is stored for rapid review.
Quest Change Auditor Threat Detection is ranked 29th in User Behavior Analytics - UEBA while Veriato is ranked 24th in User Behavior Analytics - UEBA. Quest Change Auditor Threat Detection is rated 0.0, while Veriato is rated 0.0. On the other hand, Quest Change Auditor Threat Detection is most compared with Varonis Datalert, whereas Veriato is most compared with Teramind and ObserveIT.
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