In the rapidly evolving cybersecurity domain, refining high-level security policies is essential to effectively manage network threats' increasing complexity and diversity. This thesis builds on prior research that established a sophisticated refinement process to transform high-level policy directives into technical configurations that can be subsequently applied to network devices. This approach starts with parsing high-level specifications and network topology data to derive enforceable rules that align with the underlying network architecture and security requirements. Central to this process is using a Domain-Specific Language to craft expert systems called CLIPS, which enrich the achieved policy interpretations by extracting essential details from the abstract policy definitions.