The 4-billion parameter CyberSecQwen-4B model optimizes defensive cybersecurity tasks for local deployment. It outperforms larger general models on domain-specific benchmarks while requiring significantly less compute. This specialization allows security teams to analyze sensitive logs privately. Practitioners can now deploy high-performance security LLMs on consumer-grade hardware without risking data leakage to cloud providers.