RefinementEngine: Automating Intent-to-Device Filtering Policy Deployment under Network Constraints
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Abstract (arXiv)
Translating security intent into deployable network enforcement rules and maintaining their effectiveness despite evolving cyber threats remains a largely manual process in most Security Operations Centers (SOCs). In large and heterogeneous networks, this challenge is complicated by topology-dependent reachability constraints and device-specific security control capabilities, making the process slow, error-prone, and a recurring source of misconfigurations. This paper presents RefinementEngine, an engine that automates the refinement of high-level security intents into low-level, deployment-ready configurations. Given a network topology, devices, and available security controls, along with high-level intents and Cyber Threat Intelligence (CTI) reports, RefinementEngine automatically generates settings that implement the desired intent, counter reported threats, and can be directly deployed on target security controls. The proposed approach is validated through real-world use cases on packet and web filtering policies derived from actual CTI reports, demonstrating both correctness, practical applicability, and adaptability to new data.
Key facts. No citing papers in the map yet (data through 7 Oct 2026). Builds on 6 of its 34 references that are in the map. First posted on arXiv 2 Apr 2026.
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6 of 34 references.
References · 6
- 2024The Good, The Bad, and The Greedy: Evaluation of LLMs Should Not Ignore Non-Determinismcited by 113
- 2023STIXnet: A Novel and Modular Solution for Extracting All STIX Objects in CTI Reportscited by 10
- 2025Large Language Models Are Unreliable for Cyber Threat Intelligencecited by 5
- 2024On the use of neurosymbolic AI for defending against cyber attackscited by 3
- 2024A Formal Model of Security Controls' Capabilities and Its Applications to Policy Refinement and Incident Managementcited by 2
- 2026From Threat Intelligence to Firewall Rules: Semantic Relations in Hybrid AI Agent and Expert System Architecturescited by 1
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