Patent ID: 11921851
Assignee: MUSARUBRA US LLC
Field: Computer technology (Electrical engineering)
Classification: CPC G | IPC G

Claim 19:
20. An apparatus, comprising:
memory; and
a processor operatively coupled with the memory, the processor configured to:
generate a plurality of trained machine learning models, each trained machine learning model of the plurality of trained machine learning models to classify whether a digital resource associated with a respective cyberattack of a plurality of cyberattacks;
receive a first machine learning model and a second machine learning model from the plurality of trained machine learning models and a third machine learning model from the plurality of trained machine learning models;
execute the first machine learning model and the second machine learning model in an in-line mode and the third machine learning model in an out-of-band mode,
in the in-line mode, executing the first machine learning model and the second machine learning model, generating a first classification on whether the digital resource is associated with any cyberattack of the plurality of cyberattacks and using the first classification in determining remedial actions,
in the out-of-band mode, executing the third machine learning model generating a second classification on whether the digital resource is associated with any cyberattack of the plurality of cyberattacks and without using the second classification in determining a remedial action even when the second classification indicates an association with a cyberattack of the plurality of cyberattacks; and

receive a signal in response to an evaluation of performance of the first machine learning model and the second machine learning model failing to satisfy at least one performance threshold, the signal causing (i) the first machine learning model or the second machine learning model to operate in the out-of-band mode, and ii) the third machine learning model to operate in the in-line mode.