MUMBAI, India, June 26 -- Intellectual Property India has published a patent application (202621020314 A) filed by Kalyani Tukaram Bhandwalkar; Dr. Sameer Dileep Joshi; M. S. Jeyalakshmi; Dr. P. Sathish; Pallavi Ramesh Kathar; Devanshu Saxena; Dr. Sheel Shalkni; Kaustubh Sunil Kalkonde; Prof. Sonali Amol Dhage; Mr. Tejaskumar Patel; Dr. Jignesh R Vala; and Prof. Anuradha Gohad on February 20, 2026, for Artificial Intelligence–based Approaches For Cybersecurity Threat Detection And Prevention.
Inventors include Kalyani Tukaram Bhandwalkar; Dr. Sameer Dileep Joshi; M. S. Jeyalakshmi; Dr. P. Sathish; Pallavi Ramesh Kathar; Devanshu Saxena; Dr. Sheel Shalkni; Kaustubh Sunil Kalkonde; Prof. Sonali Amol Dhage; Mr. Tejaskumar Patel; Dr. Jignesh R Vala; and Prof. Anuradha Gohad.
The application for the patent was published on June 19, 2026, under issue no. 25/2026.
Abstract: The present invention relates to an artificial intelligence based system and method for cybersecurity threat detection and prevention across digital computing environments. The invention continuously collects and analyzes data from networks, endpoints, applications, cloud platforms, and Internet of Things devices using machine learning and deep learning models. Behavioral analytics are employed to establish baseline activity patterns and detect deviations indicative of malicious behavior, including zero day attacks and advanced persistent threats. Upon identification of a potential threat, the system automatically initiates preventive and mitigation actions to reduce security risks in real time. The invention further incorporates adaptive learning and predictive analytics to improve detection accuracy, reduce false positives, and proactively defend against evolving cyber threats, thereby enhancing overall cybersecurity resilience.
Disclaimer: Curated by HT Syndication.
