Goal-Driven Risk Assessment for LLM-Powered Systems: A Healthcare Case Study

Researchers propose a new goal-driven risk assessment framework for LLM-powered systems, specifically targeting healthcare applications. The approach uses attack trees to identify detailed threat vectors combining adversarial AI attacks with conventional cyber threats, addressing security gaps in LLM system design.