Engineering and Product Development · ANTICIPATE
From signal to prediction: log/SIEM analytics, anomaly detection, predictive maintenance. The output of the model is a stream of alerts or reports that teams can operate directly.
Service Areas
We reduce the investigation burden on security, operations and maintenance teams by modeling patterns missed by the rules-based approach.
Anomaly detection, noise reduction and event prioritization in high volumes of log and telemetry data. It reduces the investigation burden on security and operations teams by modeling patterns missed by the rule-based approach.
Normalization of raw logs from in-house sources, custom parcel development and correlation rule design. Restructuring the existing SIEM investment in such a way that the alarm generated is truly meaningful.
Models that produce pre-failure warnings with vibration, temperature and current data collected from industrial equipment. The data source comes from the sensor and embedded system infrastructure established on the IoT side; This page covers the layer where that data turns into prediction.
Related Areas of Expertise
The three areas can be carried out independently or combined into a single program; The process is the same in all areas — see Delivery Model.
Project Meeting