The Sovereign SOC: A Simulation Framework for Quantum-Enhanced Federated Security Operations

Traditional Security Operations Centers (SOCs) lack physical-layer visibility and suffer from high false positive rates, leaving critical infrastructure vulnerable to hardware implants and electromagnetic side-channel attacks. This paper presents the Sovereign SOC, a simulation-based architectural framework exploring the potential integration of quantum magnetometer arrays, federated learning, and agentic AI orchestration. Using theoretical models of optically pumped magnetometers (OPMs) with 15 fT/√Hz sensitivity specifications, the system demonstrates potential for detecting electromagnetic anomalies from electronic devices while preserving privacy through federated learning across distributed nodes. We develop comprehensive mathematical models for quantum sensing, including gradiometric noise cancellation achieving theoretical common-mode rejection ratios of 80 dB, and harmonic disruption detection using Wigner-Ville distributions. Our federated learning framework implements Byzantine-resilient aggregation with proven convergence bounds, while multi-agent AI systems orchestrate autonomous responses using FIPS 203-206 post-quantum cryptographic standards. Simulation results indicate potential for up to 64% reduction in alert volume (95% CI: 61-67%), 78% reduction in storage requirements, and 47±12 ms response latency under ideal conditions. An interactive visualization platform validates the architecture across four attack scenarios in a controlled simulation environment. The detection agent achieved 89% classification accuracy on synthetic threat data, with scenario-specific success rates ranging from 78% to 96%. These findings require validation with physical sensors before real-world deployment. The Sovereign SOC establishes a theoretical foundation and architectural blueprint for future quantum-enhanced security operations.