Despite several different methods that have been suggested to improve users’ adherence to warning messages, users are still left alone in their decision-making process and have to deal with possible negative consequences of their decisions. To improve warning message adherence and to help users make a more informed decision, supported by the social facilitation theory and following design-driven approach, we implemented a real-time security bot advisor Maya. We conducted an online experiment with 312 users. The results suggest significant improvement in the warning adherence (from 38 to 61%) with the highest effect on older users. We demonstrated that the security bot advisor can be of a great help in influencing a user’s decision-making process. We suggest several ways that our findings can be used by warning designers and provide new directions for future research.