LMN is a novel tool that leverages large language models to automatically translate natural language access control policies into machine-enforceable security policies, significantly reducing manual effort and resource costs.

• Transforms human-readable security guidelines into implementable Attribute-Based Access Control (ABAC) policies
• Eliminates time-consuming manual translation work, especially valuable for large organizations
• Achieves high accuracy in converting natural language rules into actionable security controls
• Bridges the gap between security policy authors and technical implementation

This research addresses a critical challenge for organizations that need to maintain robust security while managing complex access control frameworks at scale, potentially saving significant time and reducing human error in security implementation.

LMN: A Tool for Generating Machine Enforceable Policies from Natural Language Access Control Rules using LLMs