MUMBAI, India, June 22 -- Intellectual Property India has published a patent application (202631066997 A) filed by Saad Khan; Ajay Devineni; and Ganesh Gurudu on May 28, 2026, for System And Method For Proactive Incident Prevention In Cloud-Native Financial Infrastructure Using Ai-Based Multi-Source Telemetry Fusion And Automated Severity Classification.
Inventors include Saad Khan; Ajay Devineni; and Ganesh Gurudu.
The application for the patent was published on June 12, 2026, under issue no. 24/2026.
Abstract: The system and method for proactive incident prevention in cloud-native financial infrastructure using AI-based multi-source telemetry fusion and automated severity classification is disclosed. The system comprises a telemetry acquisition layer configured to collect operational data from heterogeneous sources including application logs, infrastructure metrics, distributed traces, transaction streams, orchestration metadata, and security events. A normalization and telemetry fusion engine correlates the collected telemetry into contextual operational models representing infrastructure dependencies and transaction relationships. An artificial intelligence-based anomaly detection engine analyzes the fused telemetry using machine learning models to identify anomalous operational patterns and predict potential incidents. An automated severity classification engine dynamically assigns incident priority levels based on technical impact, business criticality, compliance sensitivity, and transaction dependency. A remediation orchestration engine automatically initiates preventive actions including workload scaling, traffic rerouting, and infrastructure isolation to improve resilience, minimize downtime, and prevent service disruptions in cloud-native financial environments.
Disclaimer: Curated by HT Syndication.
