User Behavior Analytics
Detecting Insider Threats
User behavior analytics (UBA) is the cybersecurity process that aims at detecting insider threats, targeted attacks, and financial fraud in an organization. Abacode utilizes multiple SIEM platforms with Artificial Intelligence (AI) and Machine Learning (ML) capabilities to track patterns of human behavior and deviations from such patters that seem suspicious. Patterns such as geography from where a user logs into a system might be an indicator of credential compromise. Other patterns might include which systems users typically access and during which timeframes. Based on UBA, Abacode helps stop insider threat as well as external threat actors before they are able to cause financial or reputational damage to the organization.