This research introduces domain certification for LLMs, guaranteeing models stay within their intended domains and resist adversarial manipulation.

• Establishes formal boundaries to prevent LLMs from generating out-of-scope responses
• Develops techniques to mathematically verify a model's adherence to domain constraints
• Provides a robust framework for building more trustworthy and secure AI systems
• Enables practical implementation for applications like customer support bots

For organizations deploying specialized LLMs, this certification approach significantly reduces security risks by preventing adversarial attacks that trick models into unsafe behavior outside their intended domain.

Shh, don't say that! Domain Certification in LLMs