Small Language Models Unlock Secure AI Adoption in Government

Government agencies face mounting pressure to deploy AI while navigating stringent data security requirements, offline operations, and limited infrastructure that differ sharply from private-sector assumptions. Small language models offer a practical alternative to cloud-dependent large models, enabling governments to maintain data sovereignty, operate reliably without constant connectivity, and scale without exposing sensitive information to external networks. This shift fundamentally changes how public institutions can participate in the AI era while retaining control and security.