Automated Aadhaar Masking for Enhanced Data Privacy and Compliance Qorus-NTT DATA Innovation in Insurance Awards 2026

This project comprises of 2 key components : 1. Aadhaar Masking for Images • Objective: Protect Aadhaar details in KYC documents without compromising usability. • Solution: o Integrated with ORION Document Management System (DMS). o Automated classification of uploaded documents to detect Aadhaar presence. o Intelligent masking of the first 8 digits of Aadhaar, retaining the last 4 digits as per compliance norms. o Seamless replacement of original documents with masked versions in ORION. • Impact: o 100% automation, eliminating manual effort. o Enhanced data privacy and regulatory compliance. o Improved customer trust and operational efficiency.

2. Video Aadhaar masking • Objective: Extend privacy protection to video-based KYC processes. • Solution: o Automated detection and masking of Aadhaar numbers in video frames. o Event-driven architecture leveraging S3 buckets and processing databases. o Daily reporting for transparency and audit readiness. • Impact: o Fully automated, scalable solution for video content. o Strengthened compliance across multimedia channels. o Reduced operational risk and manual intervention.