This document discusses a hardware-assisted application misbehavior detection solution that tracks expected and unexpected branches in program execution to identify bugs and security vulnerabilities. It outlines the implementation of this solution, including automated learning and detection policies, and presents evaluation results through synthetic and real application examples. The authors suggest future developments for improving the system, such as OS self-repair and enhancing crash report analysis.