What is the standard name for the loss function usually optimized in logistic regression for binary classification?

Binary Cross-Entropy

Also known as Log Loss, this function measures the performance of a classification model whose output is a probability value between 0 and 1. It penalizes confident but incorrect predictions more heavily than hesitant ones.