Abstract: An occupant step apparatus and method for a vehicle, includes a powered occupant step, a kick sensor mounted to the occupant step, and a controller having processing circuitry. The processing circuitry detects a kick gesture signal from the kick sensor, controls operation of the powered occupant step to move the occupant step, and upon detection of a step gesture signal from the kick sensor while the occupant step is being operated, halts operation of the occupant step.

Abstract: An example operation may include one or more of partitioning a data set from a data provider into a training data set and a test data set, exposing the training data set to a learning service provider while preventing the learning service provider from being able to access the test data set, wherein the preventing comprises encrypting the test data set and storing the encrypted test data set in an immutable ledger, receiving a learning model that is generated by the learning service provider based on the exposed training data set, executing the received learning model using the test data set as input to verify whether the learning model satisfies a predefined performance threshold, and in response to verifying the learning model satisfies the predefined performance threshold, outputting information about the verification to a computing node.

Abstract: A method in an illustrative embodiment comprises receiving a plurality of indicators relating to an entity of a computer network, arranging the indicators in a plurality of categories of increasing risk, assigning weights to the indicators in the categories as a function of the number of categories and the number of indicators in each category, generating a risk score for the indicators based at least in part on the assigned weights, and initiating at least one automated action relating to the entity of the computer network based at least in part on the risk score. The risk score generation is configured such that a weighted contribution to the risk score of indicators in a relatively low one of the categories decreases as a number of indicators in a relatively high one of the categories increases. Similarly, a weighted contribution to the risk score of indicators in a relatively low one of the categories increases as a number of indicators in a relatively high one of the categories decreases.