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India Expands Aadhaar Authentication, Allowing Private Sector Access to Biometric Data

 

The Indian government has introduced significant changes to its Aadhaar authentication system, expanding its use to a wider range of industries. Previously restricted to sectors like banking, telecommunications, and public utilities, Aadhaar verification will now be available to businesses in healthcare, travel, hospitality, and e-commerce. Officials claim this change will enhance service efficiency and security, but privacy advocates have raised concerns about potential misuse of biometric data. 

On January 31, the Ministry of Electronics and Information Technology (MeitY) announced revisions to the Aadhaar Authentication for Good Governance (Social Welfare, Innovation, Knowledge) Rules, 2025. These amendments allow both public and private organizations to integrate Aadhaar-based authentication into their operations, provided their services align with the public interest. The government states that this update is designed to improve identity verification processes and ensure smoother service delivery across various sectors.  

One major change in the updated framework is the removal of a rule that previously linked Aadhaar authentication to preventing financial fraud. This revision broadens the scope of verification, allowing more businesses to use Aadhaar data for customer identification. The Unique Identification Authority of India (UIDAI), the agency overseeing Aadhaar, will continue to manage the authentication system. The scale of Aadhaar’s use has grown significantly. 

Government records indicate that Aadhaar authentication was conducted in nearly 130 billion transactions by January 2025, a sharp increase from just over 109 billion transactions the previous year. With the new regulations, companies wishing to adopt Aadhaar authentication must submit detailed applications outlining their intended use. These requests will be reviewed by the relevant government department and UIDAI before receiving approval. Despite the government’s assurance that all applications will undergo strict scrutiny, critics argue that the review process lacks clarity. 

Kamesh Shekar, a policy expert at The Dialogue, a technology-focused think tank, has called for more transparency regarding the criteria used to assess these requests. He pointed out that the Supreme Court has previously raised concerns about potential misuse of Aadhaar data. These concerns stem from past legal challenges to Aadhaar’s use. In 2018, the Supreme Court struck down Section 57 of the Aadhaar Act, which had previously allowed private entities to use Aadhaar for identity verification. 

A later amendment in 2019 permitted voluntary authentication, but that provision remains contested in court. Now, with an even broader scope for Aadhaar verification, experts worry that insufficient safeguards could put citizens’ biometric data at risk. While the expansion of Aadhaar authentication is expected to simplify verification for businesses and consumers, the ongoing debate over privacy and data security underscores the need for stricter oversight. 

As Aadhaar continues to evolve, ensuring a balance between convenience and personal data protection will be crucial.

Generative AI Threatens Digital Identity Verification, Says Former CTO of Aadhar

 

Srikanth Nadhamuni, who formerly held the position of chief technology officer (CTO) of Aadhar between 2009 and 2012, believes that the tremendous improvement we are seeing in the field of artificial intelligence, particularly generative AI, poses a clear and present danger to digital identity verification. He and Vinod Khosla co-founded Bangalore-based incubator Khosla Labs, where he serves as CEO. 

The trust mechanisms that have been meticulously built into identification systems throughout time are seriously threatened by deep fakes, synthetic media that effectively mimic actual human speech, behaviour, and appearance. The need for a "proof-of-personhood" verification capability, probably using a person's biometrics, becomes paramount in this increasingly likely future scenario where AI-generated impersonations cause chaos and erode trust in the system, the tech expert wrote in a LinkedIn post titled "The Future of Digital Identity Verification: In the era of AI Deep Fakes." 

Disinformation is now taking on a whole new dimension thanks to generative AI. Text-to-image AI models like DALL-E2, Midjourney, and Stable Diffusion can produce incredibly realistic visuals that are simple to mistake for the real thing. The ability to create misleading visual information has been made possible by this technology, further obscuring the distinction between truth and fiction.

Even though the Indian government has stated that it will not regulate artificial intelligence (AI), it has revealed that the impending Digital India Act (DIA) will include provisions to address disinformation produced by AI.

“We are not going to regulate AI but we will create guardrails. There will be no separate legislation but a part of DIA will address threats related to high-risk AI,” Union Minister Rajeev Chandrasekhar said. 

The draft hasn't been released yet, so it's unclear how it will address the challenge that generative AI poses to digital identity verification. 

How to identify deep fake images

According to Sandy Fliderman, president, CTO, and creator of industry fintech, it was simpler to spot fakes in old recordings because of changes in skin tone, odd blinking patterns, or jerky motions. But since technology has advanced so much, many of the traditional "tells'' are no longer valid. Today, red flags could show up as irregularities in lighting and shading, which deepfake technology is still working to perfect.

Humans can seek for a number of indicators to distinguish between authentic and fraudulent photographs, such as the following: 

  • Body components and the skin have irregularities.
  • Eyes have a shadowy area. 
  • Unorthodox blinking patterns.
  • Spectacles with an unusual glare. 
  • Mouth gestures that are not realistic. 
  • Lip colour is unnaturally different from the face.