AI-Powered Operational Resilience: Integrating Neuro-Symbolic Reasoning and Quantum Optimization for Autonomous IT Disaster Recovery

Because IT infrastructure is growing in complexity and risk, disaster recovery (DR) is becoming increasingly difficult. Use of neuro-symbolic reasoning and quantum inspired optimization in a self-sufficient AI framework to help in operational resilience. Neuro-symbolic reasoning combines logic rules with deep learning methods. This can help devise strategies that promptly respond to their context in case of failure. The optimization of quantum inspiration is used for implementing the best recovery path. It is possible with resource allocations in big IT systems. Since lesser involvement of a human, adapt with the threat, and recovers more efficiently. Using what happens before, the system updates its symbolic rules and neural models with the knowledge-driven approach. The recovery process will utilize the available resources to minimize disruption and the framework will provide explainable decision making for compliance and audit. The simulation outcomes indicate a significant decrease in downtime and a significant increase in recovery time when compared to traditional disaster recovery solutions. It is a scalable and flexible offering for cloud-native environments and a multi-site IT infrastructure capable solution.