THE QUANTUM INTELLIGENCER

A proposed framework for enterprise threat detection now enters the record in the most practical terms the field affords: it joins the post-quantum migration directly, aligning itself with NIST FIPS 203, the standard for post-quantum cryptographic key encapsulation, and offers a sequential adoption pathway for existing security operations centres. The design, named the Quantum-AI Cybersecurity Threat Detection Framework, pairs quantum-enhanced optimisation with artificial-intelligence behavioural analytics under a four-layer orchestration model, in which an AI-governed routing policy selects certain security workloads, including threat correlation, cryptographic verification, and anomaly classification, for quantum-assisted processors, while high-throughput tasks such as telemetry ingestion and alert triage remain on classical infrastructure. Its claims are advanced as a qualitative evaluation against canonical criteria, supported by simulation-derived performance estimates, rather than by measured deployment. The proposal's motivating observation is modest and architectural: enterprise security operations face computational bottlenecks that classical architectures cannot resolve at scale, and the remedy offered is not the displacement of existing equipment but a division of labour between it and the new. The evaluation rests upon four named criteria, detection scope, integration feasibility, scalability, and sustainability, and the case is advanced as a qualitative assessment supported by simulation-derived performance estimates rather than by measured operation. In its own terms, the framework claims to address functional capability gaps in conventional security architectures. —Dr. Octavia Blythe Dispatch from The Prepared E0