MUMBAI, India, Sept. 28 -- Intellectual Property India has published a patent application (202641112649 A) filed by Aditya Institute Of Technology And Management; Omkar Pattnaik; N. Rajani; Badana Vasudevarao; More Sukesh; S. Srinivas Rao; N. Asha Sri; Jayavardhanarao Sahukaru; and Mandala Ramesh on September 19, 2026, for Machine-Learning-Based Active Verification Of Cybersecurity Inferences Using Adaptive Counter- Action Probes.
Inventors include Omkar Pattnaik; N. Rajani; Badana Vasudevarao; More Sukesh; S. Srinivas Rao; N. Asha Sri; Jayavardhanarao Sahukaru; and Mandala Ramesh.
The application for the patent was published on September 25, 2026, under issue no. 39/2026.
Abstract: A machine-learning-based active cybersecurity inference verification system (100) for verifying an inferred cybersecurity state of a computing environment includes a cybersecurity telemetry acquisition network (102) configured to acquire cybersecurity telemetry from a plurality of entities. An initial cybersecurity inference engine (104) generates competing cybersecurity hypotheses and corresponding confidence values. An uncertainty determination module (106) identifies hypotheses requiring discrimination. A counter-action probe library (108) stores controlled counter-action probes. An active probe selection engine (110) selects a probe based on an expected discrimination value and operational-risk value. A controlled probe execution module (112) executes the selected probe within a controlled portion of the computing environment. A post-probe telemetry acquisition module (114) acquires a resulting cyber-state response. A causal response verification engine (116) compares the resulting response with predicted response signatures. A cybersecurity inference verification controller (118) updates the confidence values and generates a verified cybersecurity inference.
Disclaimer: Curated by HT Syndication.
