ALEXANDRIA, Va., June 19 -- United States Patent no. 12,335,298, issued on June 17, was assigned to Tenable Inc. (Columbia, Md.).

"Predicting cyber risk for assets with limited scan information using machine learning" was invented by Damien McParland (Louth, Ireland), Bryan Doyle (Kilmacanogue, Ireland), Vincent Gilcreest (Leopardstown, Ireland) and Renaud Deraison (New York).

According to the abstract* released by the U.S. Patent & Trademark Office: "Techniques, methods and/or apparatuses are disclosed that enable prediction of cyber risks of assets of networks. Through the disclosed techniques, a cyber risk prediction model, which may be a form of a machine learning model, may be trained to predict cyber risks. The cyber risk model may ...