Chandigarh University's Computer Science Engineering Students Develop AI-Powered Platform to Detect Fraudulent Apps - Yahoo! Finance Canada

Chandigarh University's Computer Science Engineering Students Develop AI-Powered Platform to Detect Fraudulent Apps

CSE students win ₹3 lakh at CyberShield Hackathon for this Generative AI innovation to combat fraudulent apps & banking malware services

CHANDIGARH, India, Sept. 11, 2026 /PRNewswire/ -- Chandigarh University's Computer Science Engineering (CSE) students have once again proven their brilliance on the national stage by securing second position in the national-level CyberShield Hackathon, organized by Bank of India in collaboration with IIT Hyderabad to solve AI, cybersecurity and banking-fraud challenges, winning a prize of Rs 3 lakh by providing innovative solution for harnessing Generative AI for automated reverse engineering, static and dynamic analysis and risk scoring of fraudulent mobile applications (APKs) and malware.

The Chandigarh University's 'Team Fi', comprising of four third-year students of Bachelor of Engineering-CSE (IBM-Cyber Security) Danish Verma, Rahul Jaluthria, Varun Gupta and Avneet Kaur secured second position in the hackathon which attracted over 3000 team registrations from universities and higher educational institutions across India.

Among the 72 shortlisted teams, involving 232 participants, which presented their solutions and prototypes at CyberShield Hackathon in IIT Hyderabad, Team Fi of Chandigarh University – representing the Centre for Privacy and Security in Emerging Technologies (CPSET) at Chandigarh University's Apex Institute of Technology-Computer Science Engineering (AIT-CSE) – was among the nine teams which advanced to the final round for first problem statement – harnessing Generative AI for automated reverse engineering, static and dynamic analysis, and risk scoring of fraudulent mobile applications (APKs) and malware.

Chandigarh University's team secured the runner-up position in the CyberShield Hackathon with the prize money of Rs 3 lakh by building an AI-powered cybersecurity platform designed to assist in the analysis and investigation of suspicious Android applications.

"Our approach was to build an agentic AI infrastructure around this problem, moving beyond a conventional automated analysis pipeline and exploring how autonomous AI agents could coordinate different stages of cybersecurity analysis. Without going too deep into the technical implementation, our goal was to rethink how AI could be applied to a traditionally complex and highly manual cybersecurity workflow. So, the AI-powered cybersecurity platform built by our team automates several aspects of application security assessment and uses intelligent analysis to identify potentially malicious or suspicious behaviour, evaluate associated risks and generate meaningful insights for cybersecurity professionals. By bringing different stages of Android security investigation into a unified workflow, this project aimed to reduce manual effort, improve the consistency of analysis and help security teams investigate potential threats more efficiently while maintaining an evidence-driven approach," said Team Fi's Danish Verma.