Qualys, Inc.

Trustwave Holdings Inc

Sean M Molloy

Sumedh Thakar

Matthew L Wirges

Amol S Sonawane

Terry Ramos

Bharat Patel

Matthew R Alderman

Balaji Venkatesan

Tristan Burch

A dynamical hierarchical tagging system connected to a user site through a remote communications network. The system may comprise a master controller, a job management server connected to the master controller, one or more scanners in communication with the job management server, wherein the one or more scanners are configured to scan for one or more user assets located at the user site, resulting in scan results, a scan logic processor connected to the master controller, wherein the scan logic processor is configured to store the scan results in a user database, a tagging logic engine connected to the master controller, wherein the tagging logic engine is configured to tag the scan results stored in the user database, and an indexing logic processor connected to the master controller, wherein the indexing logic processor is configured to search and index the tagged scan results stored in the user database.

Dynamic hierarchical tagging system and method

A security management system may be remotely deployed (e.g., using a cloud-based architecture) to add security to an enterprise network. For example, the security management system may scan assets within the enterprise network for vulnerabilities and may receive data from these scans. The security management system may also receive data from other sources, and, as a result, the system may handle data having many different formats and attributes. When the security management system tries to associate data to assets, there may not be a globally unique identifier that is applicable for all received data. Provided in the present disclosure are exemplary techniques for tracking assets across a network using an asset correlation engine that can flexibly correlate data with assets based on attribute information.

Advanced asset tracking and correlation

A security management system may be remotely deployed (e.g., using a cloud-based architecture) to add security to an enterprise network. For example, the security management system may scan assets within the enterprise network for vulnerabilities and may receive data chunks from these scans. The security management system may also receive data chunks from other sources, and, as a result, the system may handle data chunks having many different formats and attributes. When the security management system tries to associate data chunks to assets, there may not be a globally unique identifier that is applicable for all received data chunks. Provided in the present disclosure are exemplary techniques for tracking assets across a network using an asset correlation engine that can flexibly match data chunks to assets based on the attribute or attributes that are available within the data chunks.

Described herein is a system and method for detecting vulnerability state deltas, the method comprising the steps of: receiving data related to a network connected device; determining a vulnerability state of the network connected device based upon the data; storing the vulnerability state in a vulnerability state database; receiving additional data related to the network connected device; determining an updated vulnerability state of the network connected device based upon the additional data; determining one or more deltas based upon differences between the vulnerability stare and the updated vulnerability state; and updating the stored vulnerability state with the updated vulnerability state.

System and method for detecting vulnerability state deltas

Embodiments of the invention are directed to systems and methods for determining risk associated with a business. The risk determination calculates risk with one or more policy controls associated with one or more business objects in a business object tree. Risk calculated for the policy controls is rolled-up to a business object using an algorithm that does not dilute the risk associated with the policy controls. Likewise, the risk for a business object is rolled-up to the parents of the business object. Risk is finally rolled-up to a highest order business object, which represents the risk associated with the business.

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Parker, CO, United States of America

Sean M Molloy