Self-Evolving Defense Framework for LLM Agents
SED represents a significant shift in AI security by enabling continuous adaptation to new threats without retraining models, addressing a critical gap in current defenses. Security teams and developers working with LLM agents can implement this framework to protect against evolving attacks while maintaining system functionality, particularly valuable for organizations deploying agents that handle sensitive data or modify code repositories.