Granted Patent B1

US 12,506,763 · App. 18/141,190 · Granted Dec 23, 2025

Inventors: Derek Lin (San Mateo, CA); Carlos Bernal Valdez (Lawrenceville, GA)

Assignee: Exabeam, Inc.

H04L63/1433H04L63/1416H04L63/20

Abstract

Claims (53)

1 . A non-transitory computer-readable medium comprising a computer program, that, when executed by a computer system, enables the computer system to perform the following method for scoring and organizing evidence of cybersecurity threats from multiple data sources, the method comprising:

receiving a plurality of data streams usable in cybersecurity evaluations, wherein the plurality of data streams is from a plurality of different sources;

applying a risk scoring process to the plurality of data streams to obtain detections from each data stream that are scored on a common scale based on a set of behavior indicators specific to each data stream, wherein a detection is a single piece of evidence indicating a potential security threat, and wherein the risk scoring process outputs a first risk score for each detection;

identifying a plurality of threat paths from the detections, wherein a threat path comprises one or more related detections;

calculating a first path score for each threat path based on the first risk scores for the detections in the threat path, wherein the first path score for at least one of the threat paths is based on the first risk scores of detections from different data streams;

evaluating each detection outputted by the scoring process to determine whether the detection should be categorized as a high-value detection by performing the following for each such detection:

applying a first score-modification function that includes a first set of prioritization weights to the risk score for the detection to obtain a second risk score for the detection;

determining whether the second risk score for the detection exceeds a first threshold; and

in response to the second risk score exceeding the first threshold, categorizing the detection as a high-value detection;

applying a second score-modification function that includes second set of prioritization weights to each first path score to generate a second path score for each threat path, wherein the second set of prioritization weights includes a weight corresponding to the number of high-value detections in the path;

evaluating the second path score against a case-creation threshold; and

creating a cybersecurity case for each threat path having a second path score exceeding the case-creation threshold.

2 . The non-transitory computer-readable medium of claim 1 , wherein the method is performed for a plurality of different customers, and wherein the first and second sets of prioritization weights are customizable by each customer.

3 . The non-transitory computer-readable medium of claim 1 , wherein identifying a threat path comprises:

identifying an attack technique associated with each detection;

classifying each of the detections with an attack tactic in an attack framework having a sequence of attack tactics, wherein the classification is based on the attack technique associated with the detection;

grouping the detections into tactic blocks, where each tactic block is associated with a start time, an end time, and an attack tactic;

constructing a graph of tactic blocks by directionally connecting blocks based on a time criterion, a tactic criterion, and a matching criterion related to one or more fields in the detections;

identifying one or more clusters of interconnected components in the graph of tactic blocks, wherein a cluster is a group of tactic blocks that are directionally coupled; and

for each of the clusters, identifying a threat path in the cluster.

4 . The non-transitory computer-readable medium of claim 3 , wherein the method further comprises categorizing each threat path with a known threat category based on the attack techniques in the threat path.

5 . The non-transitory computer-readable medium of claim 4 , further comprising performing a matching confidence calculation for the known threat categorization.

6 . The non-transitory computer-readable medium of claim 4 , wherein the second set of prioritization weights includes a weight related to the known threat category for a threat path.

7 . The non-transitory computer-readable medium of claim 1 , wherein the plurality of data streams includes a stream of log events and a stream of detections from a system associated with the source of the detections.

8 . The non-transitory computer-readable medium of claim 1 , wherein, for each detection, the first risk score is a probabilistic risk calculation based on the behavior indicators that evaluate to true for the detection and historical behavior data for the data stream from which the detection originates.

9 . A method, performed a computer system, for scoring and organizing evidence of cybersecurity threats from multiple data sources, the method comprising:

receiving a plurality of data streams usable in cybersecurity evaluations, wherein the plurality of data streams is from a plurality of different sources;

applying a risk scoring process to the plurality of data streams to obtain detections from each data stream that are scored on a common scale based on a set of behavior indicators specific to each data stream, wherein a detection is a single piece of evidence indicating a potential security threat, and wherein the risk scoring process outputs a first risk score for each detection;

identifying a plurality of threat paths from the detections, wherein a threat path comprises one or more related detections;

calculating a first path score for each threat path based on the first risk scores for the detections in the threat path, wherein the first path score for at least one of the threat paths is based on the first risk scores of detections from different data streams;

evaluating each detection outputted by the scoring process to determine whether the detection should be categorized as a high-value detection by performing the following for each such detection:

applying a first score-modification function that includes a first set of prioritization weights to the risk score for the detection to obtain a second risk score for the detection;

determining whether the second risk score for the detection exceeds a first threshold; and

in response to the second risk score exceeding the first threshold, categorizing the detection as a high-value detection;

applying a second score-modification function that includes second set of prioritization weights to each first path score to generate a second path score for each threat path, wherein the second set of prioritization weights includes a weight corresponding to the number of high-value detections in the path;

evaluating the second path score against a case-creation threshold; and

creating a cybersecurity case for each threat path having a second path score exceeding the case-creation threshold.

10 . The method of claim 9 , wherein the method is performed for a plurality of different customers, and wherein the first and second sets of prioritization weights are customizable by each customer.

11 . A computer system for scoring and organizing evidence of cybersecurity threats from multiple data sources the system comprising:

one or more processors;

one or more memory units coupled to the one or more processors, wherein the one or more memory units store instructions that, when executed by the one or more processors, cause the system to perform the operations of:

receiving a plurality of data streams usable in cybersecurity evaluations, wherein the plurality of data streams is from a plurality of different sources;

applying a risk scoring process to the plurality of data streams to obtain detections from each data stream that are scored on a common scale based on a set of behavior indicators specific to each data stream, wherein a detection is a single piece of evidence indicating a potential security threat, and wherein the risk scoring process outputs a first risk score for each detection;

identifying a plurality of threat paths from the detections, wherein a threat path comprises one or more related detections;

calculating a first path score for each threat path based on the first risk scores for the detections in the threat path, wherein the first path score for at least one of the threat paths is based on the first risk scores of detections from different data streams;

evaluating each detection outputted by the scoring process to determine whether the detection should be categorized as a high-value detection by performing the following for each such detection:

applying a first score-modification function that includes a first set of prioritization weights to the risk score for the detection to obtain a second risk score for the detection;

determining whether the second risk score for the detection exceeds a first threshold; and

in response to the second risk score exceeding the first threshold, categorizing the detection as a high-value detection;

applying a second score-modification function that includes second set of prioritization weights to each first path score to generate a second path score for each threat path, wherein the second set of prioritization weights includes a weight corresponding to the number of high-value detections in the path;

evaluating the second path score against a case-creation threshold; and

creating a cybersecurity case for each threat path having a second path score exceeding the case-creation threshold.

12 . The system of claim 11 , wherein the method is performed for a plurality of different customers, and wherein the first and second sets of prioritization weights are customizable by each customer.

Assignments (2)

References Cited (234)