Tenable, Inc.

Barry Sheridan

Renaud Deraison

Vincent Gilcreest

Wei Tai

Anthony Bettini

Matthew Ray Everson

Jesus Garcia Galan

In an embodiment, a management system obtains a criticality rules table that includes a plurality of rules mapped to corresponding criticality scores indicative of a level of risk in the event that an associated asset of a managed network is compromised by a third party. The one embodiment, the criticality rules table is updated based upon machine learning and/or feedback from an operator of the managed network. In another embodiment, the criticality rules table is used to assign one or more criticality scores to one or more assets based on one or more attributes of one or more assets, and the criticality rules table.

Rule-based assignment of criticality scores to assets and generation of a criticality rules table

Techniques, methods and/or apparatuses are disclosed that enable detection of an operating system of a host. Through the disclosed techniques, an operating system detection model, which may be a form of a machine learning model, may be trained to detect operating system. The operating system detection model may be provided to an operating system detector to detect operating system of a host utilizing transport layer probes without the need to have credentialed access to the host.

Host operating system identification using transport layer probe metadata and machine learning

Growing community of inventors

Dublin, Ireland

Barry Sheridan