The penalty parameter is a crucial hyperparameter in regularization techniques used to prevent overfitting by adding a penalty term to the loss function, thereby controlling the complexity of the model. It balances the trade-off between fitting the training data and maintaining model simplicity, influencing the extent to which the model coefficients are shrunk towards zero or another target value.