US 11,720,670 B2
Preventing unauthorized screen capture activity
Michael Beveridge, Waxhaw, NC (US); Elizabeth R. Liuzzo, Charlotte, NC (US); Daniel Horne, Charlotte, NC (US); and Marci Landy, Waxhaw, NC (US)
Assigned to Bank of America Corporation, Charlotte, NC (US)
Filed by Bank of America Corporation, Charlotte, NC (US)
Filed on Jan. 27, 2022, as Appl. No. 17/586,221.
Application 17/586,221 is a continuation of application No. 16/526,017, filed on Jul. 30, 2019, granted, now 11,281,771.
Prior Publication US 2022/0147625 A1, May 12, 2022
This patent is subject to a terminal disclaimer.
Int. Cl. G06F 21/55 (2013.01); G06F 21/34 (2013.01); C03C 4/08 (2006.01); G06N 20/00 (2019.01); G06F 21/44 (2013.01)
CPC G06F 21/554 (2013.01) [C03C 4/082 (2013.01); G06F 21/34 (2013.01); G06F 21/44 (2013.01); G06N 20/00 (2019.01)] 20 Claims
OG exemplary drawing
 
1. A method, comprising:
detecting, via an infrared sensor associated with a computing device, an infrared signal from a second device attempting an unauthorized image capture of contents being displayed by a display device of the computing device;
determining the contents being displayed by the display device;
determining, using machine learning, a risk level associated with the infrared signal; and
performing based on the risk level, a remediation task to prevent the unauthorized image capture, wherein the performing the remediation task comprises:
determining a number of attempted unauthorized image captures associated with the computing device; and
triggering, based on a threshold of the number of attempted unauthorized image captures, a security threat assessment of the computing device.