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US 12,120,141 B2Granted
Security scores
AssigneeHewlett-Packard Development Company, L.P.
InventorsNarendra Kumar Chincholikar, Sanket Anavkar, Vaibhav Tarange, Manohar Lal Kalwani
Life of this patent
Estimating the term…
Abstract
In an example implementation according to aspects of the present disclosure, a system, method, and storage medium to identify and score security vulnerabilities is disclosed. A memory and a processor receive security-related data from a plurality of client computing devices, create a security score for each the client computing devices. The processor identifies a subset of the client computing devices with security scores surpassing a threshold and remediates a security vulnerability on each of the subset.
Claims20
A system comprising:
- a memory comprising instructions;
- and
- a processor communicatively coupled to the memory wherein the instructions when executed cause the processor to:
- receive security-related data from a plurality of client computing devices;
- for each client computing device of the plurality of client computing devices,
- evaluate a plurality of categorical attack methods using the security-related data;
- determine, as a plurality of probability values, a probability value for each categorical attack method of the plurality of categorical attack methods;
- and
- create, based on an aggregation of the plurality of probability values, an overall security score using an artificial intelligent software model;
- identify, responsive to creation of the overall security score for each of the plurality of client computing devices, a subset of the plurality of client computing devices with overall security scores surpassing a threshold;
- and
- remediate a security vulnerability on each of the subset of the plurality of client computing devices.
9 more elements
A method comprising:
- receiving, with a processor, security-related data from a plurality of client computing devices;
- for each client computing device of the plurality of client computing devices,
- evaluating, with the processor, a plurality of categorical attack methods using the security-related data;
- determining, with the processor, as a plurality of probability values, a probability value for each categorical attack method of the plurality of categorical attack methods;
- and
- creating, with the processor, an overall security score using an artificial intelligent software model;
- identifying, with the processor, a subset of the plurality of client computing devices with overall security scores surpassing a threshold;
- rendering, with the processor, a representation for each of the subset of the plurality of client computing devices and a corresponding overall security score to each of the subset on a dashboard;
- and
- remediating, with the processor, a security vulnerability on each of the subset of the plurality of client computing devices.
7 more elements
A non-transitory computer readable medium comprising instructions executable by a processor to:
- receive a first security-related data from a plurality of client computing devices;
- for each client computing device of the plurality of client computing devices,
- evaluate a plurality of categorical attack methods using the security-related data;
- determine, as a plurality of probability values, a probability value for each categorical attack method of the plurality of categorical attack methods;
- and
- create, based on an aggregation of the plurality of probability values, a first security score using an artificial intelligent software model;
- identify a subset of the plurality of client computing devices with first security scores surpassing a threshold;
- receive a subsequent security-related data from a plurality of client computing devices;
- for each client computing device of the plurality of client computing devices,
- evaluate the plurality of categorical attack methods using the subsequent security-related data;
- determine, as a plurality of subsequent probability values, a subsequent probability value for each categorical attack method of the plurality of categorical attack methods;
- and
- create, based on a subsequent aggregation of the plurality of subsequent probability values, a subsequent security score using the artificial intelligent software model;
- identify a subsequent subset of the plurality of client computing devices with the difference of the subsequent security scores and the first security scores surpassing a second threshold;
- and
- render the subsequent subset of the plurality of client computing devices on a display.
13 more elements
Dependencies are inferred from the claim text.