MUMBAI, India, June 16 -- Intellectual Property India has published a patent application (202611053899 A) filed by Pawan Whig; Dr. Sonia Duggal; Dr. Vinod Vegesna; Kuladeep Sandra; and Mallikarjun Bellundagi, New Delhi, on April 28, for 'a novel ai and ml-optimized highly secure and privacy-preserving data engineering framework for intelligent data pipelines (secureai-dep).'
Inventor(s) include Pawan Whig; Dr. Sonia Duggal; Dr. Vinod Vegesna; Kuladeep Sandra; and Mallikarjun Bellundagi.
The application for the patent was published on June 5, under issue no. 23/2026.
According to the abstract released by the Intellectual Property India: "The present invention introduces SecureAI-DEP, a novel AI and ML-optimized, highly secured, and privacy-preserving framework designed for modern data engineering applications. The proposed system enables intelligent automation and optimization of end-to-end data pipelines, including data ingestion, transformation, validation, and orchestration across distributed and heterogeneous environments. The framework leverages advanced artificial intelligence and machine learning techniques to enhance pipeline efficiency through predictive optimization, real-time anomaly detection, and adaptive workflow management. It is specifically engineered to support data engineers in handling large-scale, complex datasets while maintaining high performance and reliability. To ensure highly secured operations, SecureAI-DEP incorporates a multi-layered security architecture featuring end-to-end encryption, zero-trust security models, and fine-grained role-based access control. Furthermore, the invention integrates robust privacy-preserving mechanisms such as differential privacy, federated learning, and data anonymization to protect sensitive information throughout the data lifecycle. The system also includes continuous monitoring and automated threat detection capabilities, enabling proactive risk mitigation and compliance with global data privacy regulations. This novel framework provides an optimized, secure, and intelligent solution for building next-generation data pipelines, making it highly suitable for enterprise and cloud-based data ecosystems."
Disclaimer: Curated by HT Syndication.
