MUMBAI, India, Nov. 21 -- Intellectual Property India has published a patent application (202441038515 A) filed by Dr. Nafeza Enayathulla; Dr. Janani Narasuraman; Dr. Preetha M; Dr. Venus Dennen Claver; and Dr. Mithileysh Sathiyanarayanan, Chennai, Tamil Nadu, on May 16, 2024, for 'a method and system of improving cyber security in organisations by using machine learning prediction models.'
Inventor(s) include Dr. Nafeza Enayathulla; Dr. Janani Narasuraman; Dr. Preetha M; Dr. Venus Dennen Claver; and Dr. Mithileysh Sathiyanarayanan.
The application for the patent was published on Nov. 21, under issue no. 47/2025.
According to the abstract released by the Intellectual Property India: "Methods, computer-readable media, software, and apparatuses may retrieve, from an industry standard setting scoring system and for a vulnerability, a temporal score based on a pre-revision version of a scoring system, and predict, based on a machine learning model and based on the temporal score for the vulnerability, an updated temporal score based on a post-revision version of the scoring system. A mitigating factor score, indicative of a mitigation applied to the vulnerability by an enterprise organization, may be determined. A risk score may be generated for each vulnerability, as a composite of the updated temporal score and the mitigating factor score. The risk scores for vulnerabilities in a collection of vulnerabilities may be aggregated to determine an enterprise risk score for the enterprise organization. In some instances, the enterprise risk score may be displayed via a graphical user interface."
Disclaimer: Curated by HT Syndication.