Safety in Self-Evolving Agents: A Survey
The survey analyzes safety risks in self-evolving agents, which update their reusable state through experience. It shifts focus from fixed components to transition-centered analysis using the SAVER framework. The core finding is that safety failures often occur when adaptation broadens the persistence or authority of existing information, not just from inherently bad data. This requires new governance focused on tracking state changes across time and context.