CPC H04L 12/1895 (2013.01) [G06F 40/295 (2020.01); G06N 7/01 (2023.01); G06N 20/00 (2019.01); G06Q 50/265 (2013.01); H04L 67/53 (2022.05); G08B 7/06 (2013.01)] | 18 Claims |
1. A machine-learning method implemented by a computing system, the method comprising:
monitoring, by the computing system, a plurality of news sources, which generate a set of news alerts, to detect a subset of news alerts satisfying a criterion;
applying, by the computing system, an entity extraction model to the subset of news alerts to identify a set of persons or organizations associated with the criterion;
generating, by the computing system, an enriched alert comprising one or more of the news alerts in the subset of news alerts and data on the set of persons or organizations;
applying, by the computing system, a predictive model to determine a probability that the enriched alert will trigger a suspicious activity report;
determining, by the computing system, that the probability is greater than a threshold probability;
applying, by the computing system and in response to determining that the probability is greater than the threshold, a relevance model to identify a destination computing device; and
transmitting, by the computing system, the enriched alert to the identified destination computing device;
wherein applying the entity extraction model produces a first person or organization named in the subset of news alerts, and a second person or organization who is not named in the subset of news alerts but who is related to the first person or organization.
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