MUMBAI, India, Jan. 9 -- Intellectual Property India has published a patent application (202541112979 A) filed by Sabitha K; Aashik Harishwar M L; Elavenil B; Sam Britto M; and Prasannaraj R, Coimbatore, Tamil Nadu, on Nov. 18, 2025, for 'human-in-the-loop threat detection.'
Inventor(s) include Sabitha K; Aashik Harishwar M L; Elavenil B; Sam Britto M; and Prasannaraj R.
The application for the patent was published on Jan. 9, under issue no. 02/2026.
According to the abstract released by the Intellectual Property India: "The increasing complexity of cyber threats has made automated systems essential for detecting and preventing malicious activities. However, fully automated models often struggle to handle ambiguous or novel attacks that require contextual understanding. This project, Human-in-the-Loop Threat Detection, integrates machine learning-based detection with human expertise to create a hybrid security framework. The system continuously monitors network logs to identify anomalies such as brute-force attacks, phishing attempts, and port scans. Detected threats are automatically categorized-known attacks are handled through automated prevention mechanisms, while uncertain cases are forwarded to a web-based human interface for expert review and decision-making. Human feedback is recorded and used to retrain the model, improving its accuracy and adaptability over time. This collaborative approach bridges the gap between automation and human judgment, enabling faster, more accurate, and adaptive cyber defense against evolving threats. The proposed invention introduces a dynamic cybersecurity system designed to evolve through continuous collaboration between artificial intelligence and human analysts. Unlike conventional automated threat detection tools that rely solely on static algorithms, this system employs an adaptive feedback architecture where every human intervention contributes to the refinement of detection models. The integrated web-based interface enables security experts to review flagged incidents, provide contextual insights, and annotate threat data, which is then automatically incorporated into the model's retraining cycle.-This iterative.process ensures that-the-system-remains resilient-against emerging and previously unseen attack patterns. By combining real-time automation with expert-driven intelligence, the invention establishes a continuously improving defence ecosystem capable of responding to sophisticated cyber threats with precision, efficiency, and adaptability."
Disclaimer: Curated by HT Syndication.
