Black-Box Forensics for Conversational LLM Agents
The research developed black-box forensics to identify hidden components of conversational AI agents purely through their dialogue. By analyzing a few turns of conversation, researchers can attribute the underlying base model and even fingerprint identical system prompts between different endpoints. This provides accountability for systems operating behind anonymous interfaces.