System and Method for AI-Driven Predictive Firmware Update Orchestration with Self-Healing Capabilities for a Fleet of IoT Devices
AssigneeDigiCert, Inc.
InventorMahendra Shelke
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AssigneeDigiCert, Inc.
InventorMahendra Shelke
Estimating the term…
Systems and methods are provided for AI-driven predictive firmware update orchestration with self-healing capabilities for a fleet of Internet of Things (IoT) devices, embedded devices, resource-constrained devices, and the like. A device trust manager, according to one implementation, includes a risk assessment module employing machine learning models trained on historical update outcomes, configured to a) receive telemetry data and operational parameters from an IoT device fleet and b) generate a success probability score associated with deploying a firmware update to one or more IoT devices of the IoT device fleet. The device trust manager also includes a scheduling engine configured to determine an optimized update schedule based on the telemetry data, operational parameters, and success probability score, and an update deployment module configured to deploy the firmware update to the one or more IoT devices according to the optimized update schedule.
A device trust manager comprising:
A method comprising steps of:
A non-transitory computer-readable medium configured to store a device updating module having computer logic instructions that causes a processing device to perform steps of:
Dependencies are inferred from the claim text.