Prime Minister Narendra Modi appointed Infosys co-founder Nandan Nilekani to lead a new high-level task force for nationwide examination reforms [1].

The move comes as the Indian government seeks to restore public trust in the national testing infrastructure. The appointment is a direct response to the NEET paper-leak controversy, which sparked widespread demands for stronger security and systemic overhauls to prevent academic fraud [1, 4].

The task force is charged with recommending and implementing comprehensive reforms for India's examination system [1, 2]. A primary focus of the body will be the integration of technology-driven examination processes to minimize human interference and increase transparency [1, 2]. By leveraging digital infrastructure, the government aims to create a more resilient system that can withstand attempts at manipulation.

Beyond technical upgrades, the task force will focus on the legal and punitive aspects of exam security. The group is expected to propose stricter actions against those involved in paper-leak offenses [1, 2]. This approach seeks to create a stronger deterrent against the organized networks that frequently target high-stakes competitive exams in India.

Nandan Nilekani brings extensive experience in large-scale digital identity and governance projects to the role. His previous work on national digital infrastructure is seen as a blueprint for how the government might digitize the lifecycle of an examination, from registration to the secure delivery of question papers.

During the announcement, Modi said, "Thanks to the youngsters who watched" [3].

“Nandan Nilekani will head a high-level body to overhaul India's examination system”

The appointment of a tech industry veteran like Nilekani suggests that the Indian government views the NEET controversy not merely as a policing failure, but as a systemic architectural flaw. By shifting the focus toward 'technology-driven exams,' the administration is signaling a move away from traditional paper-based vulnerabilities toward a digitized, encrypted model of testing that reduces the number of human intermediaries who can leak sensitive data.