MUMBAI, India, Oct. 26 -- Intellectual Property India has published a patent application (202641123627 A) filed by Dr. G. Revathy; Mrs. P. Mohanapriya; Dr. K. Ulagapriya; Mrs. S J Kavitha; and Mrs. Benasir Begam on October 15, 2026, for Secure Multi-Factor Authentication System With Behavioral And Contextual Intelligence.
Inventors include Dr. G. Revathy; Mrs. P. Mohanapriya; Dr. K. Ulagapriya; Mrs. S J Kavitha; and Mrs. Benasir Begam.
The application for the patent was published on October 23, 2026, under issue no. 43/2026.
Abstract: A secure multi-factor authentication system is disclosed for adaptively controlling access to a protected resource using behavioral and contextual intelligence. An authentication gateway receives an access request associated with an asserted identity. A behavioral intelligence engine derives a behavioral deviation value and a confidence value from interaction telemetry relative to a protected behavioral profile. A contextual intelligence engine derives a contextual risk value from device, network, session, location-consistency, activity, resource-sensitivity, and other contextual signals together with signal-reliability information. A trust decision engine performs confidence-aware fusion of the behavioral and contextual evidence, assurance of validated factors, and resource policy to generate a composite trust state. An adaptive factor orchestrator uses the trust state to permit low-friction access, select one or more risk-appropriate authentication factors, restrict privileges, or deny access. The trust state may be reassessed during an authenticated session, and behavioral profile learning is gated to trusted sessions to reduce profile poisoning. The architecture thereby improves authentication security while avoiding unnecessary fixed multi-factor challenges. Accompanied Drawing [FIGS. 1-2].
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