US 11,706,241 B1Granted

Security model utilizing multi-channel data

AssigneeWells Fargo Bank, N.A.

InventorsShane Cross, Daniel Fricano, Thomas Gilheany, Peter Makohon, Dale Miller, Charles Steven Edison, Kodzo Wegba, James Bonk

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Abstract

Systems, methods and computer-readable storage media are utilized to analyze multi-channel data based on a security model in a computer network environment. A computing system is communicatively coupled to a plurality of data channels configured to access entity data via at least one data channel communication network. A plurality of data sources configured to store entity data are associated with the respective data channels. A processing circuit is communicatively coupled to a particular data channel via a data channel communication network and is structured to receive, via the data channel, entity data comprising device connectivity data, parse properties from the device connectivity data where the properties correspond to particular security dimensions, identify vulnerabilities associated with the properties, determine vulnerability impact, and generate a multi-dimensional risk score for a target computer network environment associated with the entity.

Claims20

Dependent claims

A system comprising:

a plurality of data channels configured to access entity data;
a data channel communication network configured to communicate the entity data from the plurality of data channels;
a plurality of data sources configured to store the entity data, the plurality of data sources comprising a data source associated with a data channel of the plurality of data channels;
a processing circuit communicatively coupled to the data channel via the data channel communication network, the processing circuit configured to:
receive, via the data channel, the entity data comprising device connectivity data;
parse a first property and a second property from the device connectivity data;
identify a first vulnerability associated with the first property and the second vulnerability associated with a second property;
determine a first impact of the first vulnerability and a second impact of the second vulnerability;
assign the first property to a first cybersecurity dimension and the second property to a second cybersecurity dimension;
generate a first cybersecurity risk score based at least on the first impact of the first vulnerability, wherein the first cybersecurity risk score relates to the first cybersecurity dimension;
generate a second cybersecurity risk score based at least on the second impact of the second vulnerability, wherein the second cybersecurity risk score relates to the second cybersecurity dimension;
and
generate a multi-dimensional score for a target computer network environment based on aggregating the first cybersecurity risk score and the second cybersecurity risk score.

10 more elements

Dependencies are inferred from the claim text.

Facts

Application: 17/081,275Filed 27 Oct 2020 · us provisional application
Priority: 8 Apr 2020
Granted: 18 Jul 2023
Term ends: Not estimatedThe source records don’t support an estimate.

Classification6 codes

H04L 63/1433
For detecting or protecting against malicious traffic: vulnerability analysis
H04L 43/045
Processing captured monitoring data, e.g. for logfile generation: for graphical visualisation of monitoring data
H04L 63/1425
By monitoring network traffic: traffic logging, e.g. anomaly detection
H04L 63/18
Network architectures or network communication protocols for network security: using different networks or channels, e.g. using out of band channels