MUMBAI, India, July 24 -- Intellectual Property India has published a patent application (202641085658 A) filed by Mohan Ram Chandrasekar; and Sruthakeerthi Mohan Ram on July 13, 2026, for System And Method For Two-Axis Human Security Risk Scoring Through Multi-Vector Behavioural Simulation.
Inventor includes Mohan Ram Chandrasekar.
The application for the patent was published on July 17, 2026, under issue no. 29/2026.
Abstract: The present invention relates to a computer-implemented system and method for quantifying human security risk using multi-vector behavioural simulation. The system comprises a multi-vector simulation engine, a token generation and attribution module (102), a bot detection and event capture module (108), an artifact freezing engine (104), a denominator manifest engine (106), a two-axis risk assessment engine (110), an evidence packet generation engine (112), a phishing report attribution module (114), a difficulty scoring module (116), a recurring simulation programme engine (118), and an Compliance Evidence Inventory Engine (120). Prior to campaign launch, campaign artifacts and a cryptographic representation of the target recipient population are generated and preserved to establish an immutable pre-launch state. Behavioural interaction events are captured through protocol-distinct interaction routes and attributed to recipients while distinguishing automated scanner interactions from human interactions. Behavioural outcomes are evaluated using independent susceptibility and proficiency assessments, and a tamper-evident evidence packet is generated for independent verification. The system further supports difficulty-normalised behavioural assessment, recurring simulation programmes, longitudinal behavioural assessment, and privacy-preserving audit verification.
Disclaimer: Curated by HT Syndication.
