Researchers at IIT Bombay and Adobe Research built an inverse model that reconstructs original prompts with near-perfect accuracy. The "Previous-Token Prediction" method works across different models without needing access to internal weights. This exposes a critical security flaw for companies relying on proprietary system prompts to protect their intellectual property.