MUMBAI, India, Jan. 9 -- Intellectual Property India has published a patent application (202541113668 A) filed by Dr. S. Subasree; Vishwanatha Sriram M; Jeyaprabakaran S; Albin Tenny; and Sasidharan S, Coimbatore, Tamil Nadu, on Nov. 19, 2025, for 'ai powered password security.'
Inventor(s) include Dr. S. Subasree; Vishwanatha Sriram M; Jeyaprabakaran S; Albin Tenny; and Sasidharan S.
The application for the patent was published on Jan. 9, under issue no. 02/2026.
According to the abstract released by the Intellectual Property India: "The present invention relates to anAl-powered password strength and similarity analyzer designed to provide a comprehensive and intelligent method for assessing the security of user-generated passwords. Unlike traditional rule-based password strength meters that rely solely on predefined complexity rules such as length or character combinations, the proposed system employs a data-driven an.d machine learning-based approach that adapts to real-world password vulnerabilities: The invention utilizes Natural Language Processing (NLP) techniques, specifically character-level Term Frequency-Inverse Document Frequency (TF-IDF) vectorization, to convert passwords into numerical feature representations that capture their underlying structural patterns. These vectorized representations are then compared against a large corpus of leaked and compromised passwords using Cosine Similarity to identify structural resemblance and predict the likelihood of compromise. The system computes a composite password strength score derived from multiple weighted factors, including password length, character diversity, and similarity to known breached passwords. It further integrates an intelligent password suggestion engine capable of generating stronger alternatives, a risk visualization module that presents similarity and strength scores graphically, and a reporting mechanism that logs analysis results for future reference. Through this multi-layered architecture, the invention delivers an accurate, adaptive, and user-centric password evaluation framework that aligns with modern cybersecurity standards. It enhances both individual and enterprise-level password hygiene by identifying weak or predictable credentials, guiding users toward stronger password practices, and mitigating risks associated with credential reuse and brute-force attacks."
Disclaimer: Curated by HT Syndication.
