AGentVLM: Access control policy generation and verification framework with language models

AGentVLM is a framework that uses small language models (AI systems trained on text) to automatically convert written organizational rules into access control policies (rules defining who can access what resources). The system avoids using large third-party AI services, keeping data private, and can handle complex requirements like purposes and conditions while verifying that generated policies are accurate before they're put into use.