Machine learned model for generating opinionated threat assessments of security vulnerabilities
US-2024411898-A1 · Dec 12, 2024 · US
US9015792B2 · US · B2
| Field | Value |
|---|---|
| Publication number | US-9015792-B2 |
| Application number | US-201213479184-A |
| Country | US |
| Kind code | B2 |
| Filing date | May 23, 2012 |
| Priority date | May 23, 2012 |
| Publication date | Apr 21, 2015 |
| Grant date | Apr 21, 2015 |
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A system and method are provided for managing data, such as for example security or other business data. For the example of security data, security data is received from a plurality of assets that may or may not be remotely located. A plurality of security metrics are computed and normalized according to thresholds. Security metrics are aggregated to generate an aggregate score, this may include weighting the metrics according to metric priorities. A change effort corresponding to each metric is also received and a corresponding change effort for the aggregate score is calculated. Aggregate scores and aggregate change efforts are analyzed to generate risk reduction recommendations. Upon instruction, metrics corresponding to an aggregate score may be displayed including recommendations of metrics for risk reduction. The recommended metrics may be selected according to analysis of change-to-effort ratios for the metrics.
Opening claim text (preview).
The invention claimed is: 1. A method for managing remote facilities comprising: receiving, by a global server, security data from a plurality of assets; for each asset of the plurality of assets: computing, by the global server, a plurality of security metrics; receiving, for each security metric, a change effort estimate corresponding to effort required to bring the security metric to a corresponding threshold; aggregating the security metrics to generate an aggregate sco…
Physics · mapped topic
Physics · mapped topic
Physics · mapped topic
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