We use Gurucul UEBA to monitor user behavior. If there are any deviations from expected user behavior, such as unusual activities, unauthorized login attempts, or actions that violate established policies, we want to identify and flag these events promptly as they occur.

We were initially using a SIM tool that could not construct user behavior analytics, or more precisely, user personas. Consequently, we opted for Gurucul UEBA to develop user personas, enabling us to continuously monitor for any deviations in user activity. This includes identifying any activities that violate compliance policies or fall outside a user's baseline behavior. Gurucul UEBA automatically raises flags for such instances. We have implemented various customized use cases and models to meet our specific requirements, and these use cases are now in production and being monitored.

We carried out proof of concepts with certain projects for our customers. We deployed it, improved it, and so on.

I am using Gurucul for FIEM and UEBA.

We are providing solutions to our customers using this tool.