The following is a press release by onShore Security. Click here to read the original release. 

onShore Security announces a new machine learning cluster for their Panoptic Cyberdefense^® platform. This cluster is a substantial step forward for onShore, as it increases their machine learning capabilities. These new capabilities include better-informed tuning, modeling larger data sets, generating more high-fidelity signals for analysis, and speeding up the process for analysts to normalize and match. These new capabilities mean that onShore clients will be seeing improved outcomes through better anomaly detection, a shorter window of time for zero-day detection, and quicker profiling of client data during on-boarding.

Anil Mudholkar, Manager of Product Development at onShore, says, “Machine learning in our Elastic environment has given us real visibility into data previously hidden and buried by volume and complexity. It acts kind of like a multiplier, allowing us to deploy many more anomaly detection models on much broader collections of much less ordered data than we could in the past.”

Stel Valavanis, onShore’s CEO, adds, “Machine Learning is finally providing some real value to cybersecurity analysis, so we jumped into the deep end with our expansion. Expect better outcomes from the modeling of data that wasn’t practical to do before. Expect some new offerings from us down the pike too!”