	US 12,231,469 B2
	Security operation selection using machine-learned model in document management system
Darren Hon Kit Louie, Seattle, WA (US); Blake Thomas Walsh, Seattle, WA (US); Reid B. Maker, Issaquah, WA (US); Mark Groves, Seattle, WA (US); Anunay Kumar, Redmond, WA (US); Michael Elliot Brickman, Seattle, WA (US); and Joshua D. Wise, Seattle, WA (US)
Assigned to Docusign, Inc., San Francisco, CA (US)
Filed by DocuSign, Inc., San Francisco, CA (US)
Filed on Nov. 30, 2023, as Appl. No. 18/525,270.
Application 18/525,270 is a continuation of application No. 17/246,529, filed on Apr. 30, 2021, granted, now 11,870,813.
Prior Publication US 2024/0114058 A1, Apr. 4, 2024
This patent is subject to a terminal disclaimer.
Int. Cl. H04L 9/40 (2022.01); G06F 21/62 (2013.01); G06N 20/00 (2019.01)

CPC H04L 63/20 (2013.01) [G06F 21/6209 (2013.01); G06N 20/00 (2019.01)]

20 Claims

1. A method comprising:

determining, by a computer system, an aggregate measure of security for one or more sets of security operations, each set of the one or more sets of security operations comprising one or more security operations that, when performed, improve security within a document process;

based on the aggregate measure of security and a threshold measure of security, applying, by the computer system, a machine-learned model to identify one or more additional sets of security operations, the one or more additional sets of security operations, when combined with the one or more sets of security operations, resulting in an updated aggregate measure of security that satisfies the threshold measure of security; and

modifying, by the computer system, the one or more sets of security operations based on the one or more additional sets of security operations.