Cutting network false positives at Intel

Intel uses H2O to detect anomalies in network traffic and slash false positives.

Anomaly detection

Ed was a former developer and turned to data science since he could not have machines do what he wanted by just coding. Hence, he started to work on Anomaly Detection of Network Traffic using AI. Initial experiments took month and led to a high rate of false positives. Then he started using H2O and within a few hours he saw the number of false positives reduced significantly.

“Once we started using H2O we saw the number of false positives reduced significantly within hours.”

Ed DixonData Scientist

Start owning your AI

One platform. Complete sovereignty. Measurable results.

Request a demo Talk to H2O