MUMBAI, India, Jan. 23 -- Intellectual Property India has published a patent application (202511122303 A) filed by K. R. Mangalam University, Gurugram, Haryana, on Dec. 5, 2025, for 'system for intelligent anomaly detection in cloud-native data pipelines.'
Inventor(s) include Dr. Yogita Yashveer Raghav; and Dr Ruby Jindal.
The application for the patent was published on Jan. 23, under issue no. 04/2026.
According to the abstract released by the Intellectual Property India: "The invention provides a system for intelligent anomaly detection in cloud-native data pipelines that integrates distributed telemetry ingestion, real-time topology modeling, machine-learning inference, contextual reasoning, and automated remediation within a unified architecture. The system captures heterogeneous operational signals from containerized and serverless environments, normalizes and correlates them into a dynamic graph representation of the pipeline, and applies adaptive machine-learning models to detect deviations from expected behavior. A contextual reasoning engine interprets anomalies by identifying probable root causes, estimating severity, and determining downstream impact. An automated remediation orchestrator interacts with cloud-native control planes to initiate corrective actions that stabilize pipeline performance. The system supports elastic scaling, multi-cloud interoperability, and continuous synchronization with deployment and infrastructure changes, enabling high-accuracy anomaly detection, improved reliability, and autonomous operational resilience across distributed data-processing workflows."
Disclaimer: Curated by HT Syndication.
