US 11,870,813 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 Apr. 30, 2021, as Appl. No. 17/246,529.
Prior Publication US 2022/0353296 A1, Nov. 3, 2022
Int. Cl. H04L 29/06 (2006.01); H04L 9/40 (2022.01); G06N 20/00 (2019.01); G06F 21/62 (2013.01)
CPC H04L 63/20 (2013.01) [G06F 21/6209 (2013.01); G06N 20/00 (2019.01)] 20 Claims
OG exemplary drawing
 
1. A method comprising:
presenting, to a user of an online document system, a plurality of sets of security operations within a security policy customization interface, each set of the plurality of sets of security operations associated with a measure of security and comprising one or more security operations that, when performed, improve security within a document creation or execution process;
receiving, from the user, a selection of sets of security operations;
computing, by the online document system, an aggregate measure of security based on the measures of security associated with the selected sets of security operations;
in response to the aggregate measure of security being less than a threshold measure of security, applying a machine-learned model to characteristics of the user to identify additional sets of security operations to recommend, the additional sets of security operations, when combined with the selected sets of security operations, resulting in an updated aggregate measure of security that exceeds the threshold measure of security; and
modifying, by the online document system, the security policy customization interface to include a recommendation for the additional sets of security operations.