A 4-billion parameter model, CyberSecQwen-4B, optimizes defensive cybersecurity tasks for local execution. It outperforms larger general models on specific security benchmarks while requiring significantly less VRAM. This specialized architecture allows security analysts to process sensitive logs offline. It proves that small, domain-specific models beat generalists for niche technical workflows.