An information processing apparatus that executes machine learning by a plurality of processing layers includes a processor and a memory, a normal region of the memory holds a parameter of the machine learning, an isolation region isolated from the normal region of the memory holds input data to an i-th layer included in the plurality of processing layers and a parameter of the machine learning, the processor determines whether there is a risk in executing processing of the i-th layer for the input data in the normal region based on a content of secret information of the input data in the isolation region, when determining that there is the risk, executes the processing of the i-th layer for the input data in the isolation region, and when determining that there is no risk, executes the processing of the i-th layer for the input data in the normal region.