Please solve this question with explanation

One of the claimed advantages of Random Forest is that they will not overfit. The Gains curve for a Random Forest model in training and validation shown below, however, seems to suggest that such models can overfit. Provide an argument for why this might happen and what can be done about it. 1.80 - 0 75- Predictor Cumulative gains 0.50 +tangie_ofit praing * finger atit (vall 0.25 0.25 0.50 0.75 1.00 Proportion of customers Edit View Insert Format Tools Table