MUMBAI, India, July 24 -- Intellectual Property India has published a patent application (202641078284 A) filed by Dr. R. Balakrishnan; E. Bhavani; M. Divya; Dr. S. Prabhu; D. Shamili; Dr. T. Sangeetha; Dr. R. Ananthi Lakshmi; and Dr Sangeetha V on June 25, 2026, for An Ai-Based Adaptive Threat Detection System For Cloud Infrastructure.

Inventors include Dr. R. Balakrishnan; E. Bhavani; M. Divya; Dr. S. Prabhu; D. Shamili; Dr. T. Sangeetha; Dr. R. Ananthi Lakshmi; and Dr Sangeetha V.

The application for the patent was published on July 17, 2026, under issue no. 29/2026.

Abstract: An Al-based adaptive threat detection system is designed to enhance security within cloud computing infrastructures. The system continuously monitors network activity, user behavior, and system events across distributed cloud environments. Artificial intelligence models analyze patterns in real-time and historical data to identify suspicious activities and potential cyber threats. Adaptive learning mechanisms enable the system to recognize evolving attack techniques. Behavioral analytics detect anomalies that may indicate unauthorized access or malicious operations. Automated risk assessment prioritizes threats based on severity and impact. Real-time alerts support rapid incident response and mitigation. The system integrates with cloud security frameworks and management platforms. Scalable architecture enables monitoring across multi-tenant and hybrid cloud environments. Secure data processing maintains confidentiality and integrity of cloud operations. Continuous model updates improve detection accuracy overtime. Visualization tools provide actionable insights for security teams. The system reduces false positives through contextual threat analysis. Automated response mechanisms support containment of detected attacks. This system provides an intelligent and adaptive solution for protecting cloud infrastructure from emerging cyber threats.

Disclaimer: Curated by HT Syndication.