MUMBAI, India, April 17 -- Intellectual Property India has published a patent application (202641042246 A) filed by Chennai Institute Of Technology, Chennai, Tamil Nadu, on April 2, for 'an adaptive offline model for early detection and prevention of identity-centric threats in isolated and air-gapped network environments.'
Inventor(s) include Dr. E. Kodhai; Mrs. Rajeswari. C; Ms. Vidhyalakhmi. P; Mr. Prabhu. M; Mr. B L Roshan; and Mr. Naresh Rajj S.
The application for the patent was published on April 17, under issue no. 16/2026.
According to the abstract released by the Intellectual Property India: "Due to the lack of constant monitoring in contemporary isolated and air-gapped networks, identity misuse, including unauthorized access, privilege escalation, and account compromise, is challenging to identify in real time. In these kinds of settings, traditional log analysis tools are frequently manual, system-centric, and insensitive to user behavior, which limits their effectiveness in detecting identity misuse and responding to security incidents in a timely manner. A portable, offline log analysis tool called IdentityAI was created to detect identity-centric security risks in remote networks. The system creates behavioral baselines for distinct user identities by ingesting authentication and access logs from various sources, such as Linux, Windows, and application services. IdentityAI detects anomalies like unusual privilege escalation patterns, excessive unsuccessful authentication attempts, abnormal login times, and dormant account usage using a hybrid approach of rule-based detection and lightweight."
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