Crowdstrike, Inc.

Mihaela Petruta Garan

Marian Radu

Stefan-Bogdan Cocea

Cristian Viorel Popa

A command line anomaly detection system can generate anomaly scores associated with command line entries, such that command line entries associated with the highest anomaly scores can be identified. The command line anomaly detection system can include a transformer model trained, via unsupervised machine learning, to determine meanings of components of individual command line entries. The command line anomaly detection system can also include an anomaly detection model trained, via unsupervised machine learning, to determine anomaly scores based on the meanings of components of individual command line entries determined by the transformer model.

Growing community of inventors

Bucharest, Romania

Mihaela Petruta Garan