METHODS AND SYSTEMS FOR IDENTIFYING ANOMALOUS COMPUTER EVENTS TO DETECT SECURITY INCIDENTS

Patent №

US 12,373,557

Granted

2025-07-29

Filed 2023

Owner

Auguria, Inc.

Lab

AI components

0

Assignment

None on record

Dataset

AIPD

Application

18166654

A method includes receiving, from a source from a plurality of sources, data associated with an event at the source. The data includes an event timestamp and an event data-frame. The method includes defining a standardized event based on the event by parsing the data to map predefined data fields within the event data-frame based on predefined standardization rules, calculating a representative identifier for the event by providing a representation of the standardized event as an input to a predefined function, defining an identifier for the event based on the representative identifier, calculating a distance of the identifier to an identifier associated with each event cohort from a plurality of event cohorts, assigning the event to an event cohort from the plurality of event cohorts based on the distance meeting a criterion of that cohort, and identifying an anomalous event based on the distance exceeding a predetermined threshold.

G06F 21/554G06N 20/00G06N 3/091G06N 3/045G06F2221/034H04L 63/1425

Ownership

Auguria, Inc.

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