MUMBAI, India, Sept. 28 -- Intellectual Property India has published a patent application (202621094614 A) filed by Symbiosis International Deemed University on August 04, 2026, for Ai-Driven Zero Trust Architecture System And Method For Adaptive Network Security.
Inventors include Prof. Firdous Sadaf Mohammad Ismail; Samir Shendre; Parth Denge; and Krishna Khote.
The application for the patent was published on September 25, 2026, under issue no. 39/2026.
Abstract: ABSTRACT AI-DRIVEN ZERO TRUST ARCHITECTURE SYSTEM AND METHOD FOR ADAPTIVE NETWORK SECURITY The present invention discloses an AI-driven zero trust architecture system and method for adaptive network security. The system (100) comprises an authentication module (110) for verifying user credentials, a device verification module (120) for evaluating device security posture, an AI-based behavioral monitoring module (130) employing machine learning algorithms for continuous analysis of user and network activity patterns, a trust evaluation engine (140) for dynamically computing trust scores based on authentication strength, behavioral consistency and device compliance, a policy enforcement engine (150) for granting or restricting access based on computed trust scores and predefined security policies, and an alert and logging module (160) for generating real-time threat notifications and maintaining audit trails. The system replaces static perimeter-based security models with continuous, intelligent verification, thereby reducing unauthorized access, detecting insider threats and enabling automated adaptive access control decisions across distributed network environments. [
Disclaimer: Curated by HT Syndication.
