Quantum-Cognitive Autonomous Cloud Fabric (Q-CACF): AI-Driven Multi-Cloud, Edge, and Quantum Orchestration Platform with Self-Trust, Compliance, and Dynamic Data Gravity Balancing

The invention provides an AI-driven, quantum-assisted multi-cloud orchestration fabric that autonomously manages workload placement, trust verification, data movement, and policy governance across heterogeneous environments including public, private, edge, and quantum cloud domains. Using cognitive reasoning and dynamic “data-gravity balancing,” the system continuously predicts optimal placement for workloads by evaluating latency, bandwidth, cost, trust, and compliance policies. It self-audits security posture, dynamically establishes inter-cloud trust tunnels, and leverages quantum optimization for resource allocation. The result is a unified cloud-edge-quantum continuum that autonomously manages itself for performance, cost, compliance, and resilience bridging the gaps in multi-cloud management, latency, AI workload optimization, and data movement across distributed fabrics.