Invention Grant
- Patent Title: Correlated risk in cybersecurity
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Application No.: US17179630Application Date: 2021-02-19
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Publication No.: US11770401B2Publication Date: 2023-09-26
- Inventor: Ethan Geil , Marc Light
- Applicant: BitSight Technologies, Inc.
- Applicant Address: US MA Boston
- Assignee: BitSight Technologies, Inc.
- Current Assignee: BitSight Technologies, Inc.
- Current Assignee Address: US MA Boston
- Agency: Goodwin Procter LLP
- Main IPC: H04L9/40
- IPC: H04L9/40 ; G06F21/57 ; G06F16/28 ; G06F16/901 ; G06F16/2457 ; G06F17/18

Abstract:
Computer-implemented methods are provided herein for quantifying correlated risk in a network of a plurality of assets having at least one dependency, where each asset belongs to at least one entity. The method includes generating a dependency graph based on relationships between the assets, at least one dependency, and at least one entity, and executing a plurality of Monte Carlo simulations over the dependency graph. Executing a plurality of Monte Carlo simulations includes generating a seed event in the dependency graph, where the seed event has a probability distribution, and propagating disruption through the dependency graph based on the seed event. The method further includes assessing loss for each of the assets, and aggregating losses for two or more assets to determine correlated risk in the network.
Public/Granted literature
- US20210176269A1 CORRELATED RISK IN CYBERSECURITY Public/Granted day:2021-06-10
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