MeitY launches DEPA handbook to enable secure data sharing for AI training

What happened

India's Ministry of Electronics and Information Technology launched a handbook on the Data Empowerment and Protection Architecture for AI training at a roundtable in Bengaluru. S. Krishnan, the ministry's secretary, unveiled it with support from the iSPIRT Foundation.

Confirmed

Global impact / market context

Companies often hold back data because of privacy, confidentiality and intellectual property worries. A framework that lets institutions share data for AI training while keeping control could widen access to datasets, which may help firms build AI products and services.

Analyst inference

The framework uses contracts, controlled computing environments and privacy safeguards, plus data provenance, which means tracking where data came from and how it is used. For investors, this signals a possible policy push toward more organized data sharing in India's AI sector.

Analyst inference

What to watch

1. The handbook combines contractual permissions, controlled computing environments and privacy-enhancing safeguards, and it adds data provenance so the origin, permissions and use of data can be tracked through AI training. Confirmed
2. Watch whether companies and institutions actually adopt the voluntary framework for sharing datasets, since wider participation is what would turn the published handbook into real data access for AI training. Proposed
3. Track whether clearer data-sharing rules lower legal and privacy friction for firms such as Infosys, potentially affecting their ability to win AI projects and raise technology-related revenue. Analyst inference

Evidence

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