US 11,870,788 B2
Utilizing a machine learning model to determine real-time security intelligence based on operational technology data and information technology data
Bradford Henry Hegrat, Montville, OH (US); and Douglas Ray Wylie, Eastlake, OH (US)
Assigned to Accenture Global Solutions Limited, Dublin (IE)
Filed by Accenture Global Solutions Limited, Dublin (IE)
Filed on Apr. 28, 2021, as Appl. No. 17/243,228.
Prior Publication US 2022/0353276 A1, Nov. 3, 2022
Int. Cl. G06N 20/00 (2019.01); G06N 5/04 (2023.01); H04L 9/40 (2022.01)
CPC H04L 63/1416 (2013.01) [G06N 5/04 (2013.01); G06N 20/00 (2019.01)] 20 Claims
OG exemplary drawing
 
1. A method, comprising:
receiving, by a device, historical operational technology data and historical information technology data associated with historical systems;
receiving, by the device, real-time operational technology data and real-time information technology data associated with a system;
processing, by the device, the real-time operational technology data and the real-time information technology data, with a machine learning model, to determine a trust score and a risk score for an event associated with the real-time operational technology data and the real-time information technology data; and
performing, by the device, one or more actions based on the trust score and the risk score,
wherein performing the one or more actions includes:
providing a recommendation for addressing the event to one or more responsible actors;
receiving feedback associated with a result of implementing the recommendation; and
updating the machine learning model based on the feedback.