The server room is silent except for a single fan pushing air over a small CPU. No GPUs. No racks of expensive cards. Yet, the NIST Cybersecurity Framework runs here—powered by a lightweight AI model built for CPU-only deployment.
Most AI implementations bind you to high-cost hardware and complex installs. This one does not. It’s streamlined to meet the NIST Cybersecurity Framework's core functions: Identify, Protect, Detect, Respond, and Recover. The model processes log data, alerts, and configuration files fast enough to secure systems without GPU acceleration. That means lower cost, lower power use, and simpler system requirements.
The design follows the NIST guidelines precisely. It maps AI outputs to risk identification, threat classification, and incident prioritization. By deploying it on CPUs, teams can integrate security analytics directly into existing infrastructure—no cloud dependency, no hardware upgrades. It can run as a local service, inside containers, or even on edge devices that require compliance but lack GPU resources.