US 12,010,003 B1
Systems and methods for deploying automated diagnostic engines for identification of network controls status
Tomas M. Castrejon, III, Fort Mill, SC (US); Christopher Stephen Littrell, Dallas, TX (US); Trina Perraut, Fairview, TX (US); and Kara M. Schlageter, Charlotte, NC (US)
Assigned to BANK OF AMERICA CORPORATION, Charlotte, NC (US)
Filed by BANK OF AMERICA CORPORATION, Charlotte, NC (US)
Filed on Jan. 26, 2023, as Appl. No. 18/101,991.
Int. Cl. H04L 43/04 (2022.01); G06F 8/60 (2018.01); H04L 41/0894 (2022.01)
CPC H04L 43/04 (2013.01) [G06F 8/60 (2013.01); H04L 41/0894 (2022.05)] 17 Claims
OG exemplary drawing
 
1. A system for identifying network control gaps, the system comprising:
at least one non-transitory storage device; and
at least one processor coupled to the at least one non-transitory storage device, wherein the at least one processor is configured to:
execute instructions to deploy one or more autonomous programs on a network infrastructure, wherein the one or more autonomous programs further comprise a network of chat bots configured to communicate with one or more human users and emulate one or more data misappropriation methods including requesting access to devices and data for which the one or more autonomous programs are not authorized to access;
continually monitor feedback data received from the one or more autonomous programs;
based on the feedback data received from the one or more autonomous programs, determine that the one or more autonomous programs has circumvented one or more network control policies;
analyze the feedback data to determine how the one or more autonomous programs has circumvented the one or more network control policies; and
execute instructions to pause access to one or more systems or elevate one or more security requirements in response to determining that the one or more autonomous programs has circumvented one or more network control policies.