MUMBAI, India, June 16 -- Intellectual Property India has published a patent application (202611054326 A) filed by Greater Noida Institute Of Technology, Greater Noida, Uttar Pradesh, on April 29, for 'spam detection in e-mail and sms using agentic ai.'
Inventor(s) include Prof. Dhiraj Gupta; Mr. Shivveer Singh; Gaurav Kumar; Sunny Verma; Kanak Gautam; Ishaan Patel; Nishant Singh Chauhan; Mohd Naveed; Md Rahul; Sahil Akhtar; and Anand Kumar.
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 relates to an agentic artificial intelligence-based system for detecting spam in electronic communication including e-mail and SMS. The system integrates preprocessing, machine learning, deep learning, and multi-agent decision-making into a unified architecture. Textual data is processed using feature extraction techniques such as TF-IDF vectorization and analyzed using probabilistic classifiers and deep learning models including CNN, GRU, and BiLSTM. The system further employs a multi-agent framework comprising specialized agents coordinated by an orchestrator module, which applies a zero-trust decision logic to classify messages as spam or legitimate. The invention enables detection of both statistical and adversarial spam patterns and provides explainable outputs. The system supports continuous learning and real-time deployment, offering a scalable and robust solution for communication security."
Disclaimer: Curated by HT Syndication.
