Ever since the government has introduced the AADHAAR card as a unique identification number, it is considered an important document for the proof of identification for all citizens.

Its regulations are governed by UIDAI, this 12-digit unique AADHAAR number is used by citizens to avail many government schemes and use it as ID proof for opening bank accounts, KYC, income tax return, loan processing, and other banking purposes.

However, with sharing comes the risk of data breaches and security. And what if some fraudster catches hold of it, and misuses it? Hence, in line with the prevention of money laundering cases and security of AADHAAR card data, AADHAAR masking is mandated by RBI.

In May 2019, RBI updated the master direction on KYC guidelines. One such update makes it mandatory for RBI regulated entities to mask the AADHAAR card of all the customers from the AADHAAR image as a part of the KYC process.

What is AADHAAR Masking?

The AADHAAR card masking process includes the concealing of the first 8 digits of the AADHAAR number captured in the application form as a part of the proof of identity and keeps the rest of 4-digits visible

Other demographic information such as name, DOB, gender, address, and QR code remain the same such as. It is digitally signed by the competent authority UIDAI and it is masked at the point of capture before it’s stored permanently in a database system

AADHAAR Masking Challenges for BFSI Industries

As per the government guidelines, one needs to submit an AADHAAR card in multiple instances like opening a bank account, insurance, fixed deposit, video KYC, and in the onboarding process.

And the KYC documents that are presented at the time of verification are kept as scanned copies.

Banking and financial companies will have a bulk of customer-proof images in their database and mainstream systems that will not be segregated and classified.

Moreover, the existing KYC process is encompassed with various stages of human intervention including collection & submission of relevant documents at branches, scan & upload of hard copy in the business process management system, and manual verification of image quality.

And extracting particular data from an image is a time-consuming and costly process. Hence, to accelerate the customer experience and employee productivity it is crucial to classify and segregate the KYC documents.

The advanced technologies like RPA and AI can detect 12 digit AADHAAR card numbers from images and videos accurately. Even in the KYC guidelines mandated by RBI, the regulator allows the use of AI and automation technology for such tasks

[Also Read : Intelligent Document Processing: The Complete Guide]

Solution to AADHAAR Card Masking – Automation

AutomationEdge brings an end to this time-consuming and mundane task by introducing AADHAAR Card Masking Bot.

It provides the customer an easy solution of masking AADHAAR data by default within a few seconds.

With an AADHAAR card masking bot, BFSI companies can now automate AADHAAR card classification, extraction, and mask the first eight-digit of an AADHAAR card in minimal time. This automated process will-

  • Enhance customer experience
  • Cost-effective & time saving
  • Prevent misuse of customer data
  • Maintain confidentiality of data
  • Enable employees to visually inspect bad images & correct manually

“AutomationEdge AADHAAR Masking Bot can mask 1000 images in just 22-25 minutes.”

This bot can also be customized to mask name, DOB, complete AADHAAR number, QR code, and any other information present on the AADHAAR Card. Request a Bot

Regardless of industries, AutomationEdge’s personalized AADHAAR masking enables its customer to upload the AADHAAR details directly to your web and can view the output folder for masked images and output log files

AutomationEdge uses AI and intelligent document processing abilities like OCR, NLP to generate high-quality storage efficient images and modify them to suit the customer’s needs for style and masking.

Considering the manual intervention and time-consuming stages included in the KYC process, the value of the AADHAAR card masking solution is quite evident in the Banking, Financial Services and Insurance (BFSI) companies.

AutomationEdge’s Bot store accelerates the robotic process automation initiative by providing ready action connectors and plug-and-play bots to automate complex business processes into simplified norms in a cost-effective and timely manner. Visit Bot Store

Elevate Document Processing
with DocEdge

Know More