Streaming and filtering event objects into a data lake
US-12095778-B2 · Sep 17, 2024 · US
US2023216877A1 · US · A1
| Field | Value |
|---|---|
| Publication number | US-2023216877-A1 |
| Application number | US-202217991025-A |
| Country | US |
| Kind code | A1 |
| Filing date | Nov 21, 2022 |
| Priority date | Dec 30, 2021 |
| Publication date | Jul 6, 2023 |
| Grant date | — |
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A system, method, and computer-readable medium are disclosed for performing entity interaction risk analysis operation. The entity interaction risk analysis operation includes: monitoring an entity, the monitoring observing an electronically-observable data source; identifying an interaction between the entity and another entity based upon the monitoring; analyzing the interaction between the entity and the another entity; determining whether the interaction between the entity and the another entity is non-sanctioned; and, performing a security operation in response to the analyzing the interaction and the determining whether the interaction is non-sanctioned.
Opening claim text (preview).
What is claimed is: 1 . A computer-implementable method for performing an entity interaction risk analysis operation, comprising: monitoring an entity, the monitoring observing an electronically-observable data source; identifying an interaction between the entity and another entity based upon the monitoring; analyzing the interaction between the entity and the another entity; determining whether the interaction between the entity and the another entity is non sanctioned; and, performing a security operation in response to the analyzing the interaction and the determining whether the interaction is non sanctioned. 2 . The method of claim 1 , wherein: the another entity comprises an information source. 3 . The method of claim 2 , wherein: the analyzing includes identifying a trending topic and determining whether the information source includes the trending topic. 4 . The method of claim 3 , wherein: the analyzing includes generating an amplification factor based upon whether the information source includes the trending topic. 5 . The method of claim 1 , wherein: the analyzing includes determining an affect associated with the interaction between the entity and the another entity. 6 . The method of claim 5 , wherein: the affect is determined using at least one of a sentiment analysis operation and a pattern analysis operation. 7 . A system comprising: a processor; a data bus coupled to the processor; and a non-transitory, computer-readable storage medium embodying computer program code, the non-transitory, computer-readable storage medium being coupled to the data bus, the computer program code interacting with a plurality of computer operations and comprising instructions executable by the processor and configured for: monitoring an entity, the monitoring observing an electronically-observable data source; identifying an interaction between the entity and another entity based upon the monitoring; analyzing the interaction between the entity and the another entity; determining whether the interaction between the entity and the another entity is non sanctioned; and, performing a security operation in response to the analyzing the interaction and the determining whether the interaction is non sanctioned. 8 . The system of claim 7 , wherein: the another entity comprises an information source. 9 . The system of claim 8 , wherein: the analyzing includes identifying a trending topic and determining whether the information source includes the trending topic. 10 . The system of claim 9 , wherein: the analyzing includes generating an amplification factor based upon whether the information source includes the trending topic. 11 . The system of claim 7 , wherein: the analyzing includes determining an affect associated with the interaction between the entity and the another entity. 12 . The system of claim 11 , wherein: the affect is determined using at least one of a sentiment analysis operation and a pattern analysis operation. 13 . A non-transitory, computer-readable storage medium embodying computer program code, the computer program code comprising computer executable instructions configured for: monitoring an entity, the monitoring observing an electronically-observable data source; identifying an interaction between the entity and another entity based upon the monitoring; analyzing the interaction between the entity and the another entity; determining whether the interaction between the entity and the another entity is non sanctioned; and, performing a security operation in response to the analyzing the interaction and the determining whether the interaction is non sanctioned. 14 . The non-transitory, computer-readable storage medium of claim 13 , wherein: the another entity comprises an information source. 15 . The non-transitory, computer-readable storage medium of claim 14 , wherein: the analyzing includes identifying a trending topic and determining whether the information source includes the trending topic. 16 . The non-transitory, computer-readable storage medium of claim 15 , wherein: the analyzing includes generating an amplification factor based upon whether the information source includes the trending topic. 17 . The non-transitory, computer-readable storage medium of claim 13 , wherein: the analyzing includes determining an affect associated with the interaction between the entity and the another entity. 18 . The non-transitory, computer-readable storage medium of claim 17 , wherein: the affect is determined using at least one of a sentiment analysis operation and a pattern analysis operation. 19 . The non-transitory, computer-readable storage medium of claim 13 , wherein: the computer executable instructions are deployable to a client system from a server system at a remote location. 20 . The non-transitory, computer-readable storage medium of claim 13 , wherein: the computer executable instructions are provided by a service provider to a user on an on-demand basis.
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