US 12,107,877 B2
Real-time detection of anomalous content in transmission of textual data
Elijah Clark, Charlotte, NC (US); and George Albero, Charlotte, NC (US)
Assigned to Bank of America Corporation, Charlotte, NC (US)
Filed by Bank of America Corporation, Charlotte, NC (US)
Filed on Jun. 6, 2023, as Appl. No. 18/206,318.
Application 18/206,318 is a continuation of application No. 16/581,957, filed on Sep. 25, 2019, granted, now 11,711,385.
Prior Publication US 2023/0319091 A1, Oct. 5, 2023
This patent is subject to a terminal disclaimer.
Int. Cl. H04L 9/40 (2022.01); G06N 5/04 (2023.01); G06N 20/00 (2019.01)
CPC H04L 63/1425 (2013.01) [G06N 5/04 (2013.01); G06N 20/00 (2019.01); H04L 63/0428 (2013.01); H04L 63/1416 (2013.01)] 20 Claims
OG exemplary drawing
 
1. A computing platform, comprising:
at least one processor;
a communication interface communicatively coupled to the at least one processor; and
memory storing computer-readable instructions that, when executed by the at least one processor, cause the computing platform to:
detect an anomalous pattern indicative of secure enterprise information;
determine that the detected anomalous pattern comprises obfuscated secure enterprise information;
provide the detected anomalous pattern as labeled training data to train a machine learning model for obfuscated information; and
trigger, via a computing device, one or more security actions to prevent a transmission of the secure enterprise information, wherein the one or more security actions comprises generating a risk profile of an enterprise user associated with a user device and wherein the risk profile is indicative of a likelihood of the enterprise user to transmit secure enterprise information and is based on a number of times unauthorized activity was identified in conjunction with a business role of the enterprise user.