Introduction: The Critical Gap in Enterprise LLM Security Imagine an e-commerce AI customer service agent inadvertently leaking upcoming promotion strategies, or a healthcare diagnostic model bypassed through clever prompt engineering to give unvetted advice. These aren’t hypotheticals; they are real-world risks facing companies deploying large language models (LLMs). As generative AI becomes standard enterprise infrastructure, the challenge shifts from capability to security and compliance. How do organizations harness AI’s power without exposing themselves to data leaks, prompt injection attacks, or compliance violations? This is the challenge JoySafety was built to solve. Open-sourced by JD.com after extensive internal use, this framework …