The government is promoting a hybrid AI model strategy to prevent global tech giants from accessing sensitive data. As IT Secretary S Krishnan advocates for a mix of open and proprietary systems, an upcoming consultation paper from IT Minister Ashwini Vaishnaw will further define safety rules. This shift highlights growing concerns over data leakage and cyber risks in AI adoption.
The central government is signaling a major shift in how artificial intelligence systems should be deployed across India. IT Secretary S Krishnan has officially advocated for a balanced approach, favoring a mix of open and proprietary AI models. The goal is to protect national data sovereignty and prevent foreign tech giants from using sensitive Indian data to train their private algorithms.
Moving Away from Black-Box Models
The government’s primary concern is that over-reliance on proprietary systems—often called black-box models because their internal workings are hidden—creates significant vulnerabilities. When Indian businesses or government agencies feed sensitive data into these systems, there is a risk that the information could be transferred outside the country or used to improve the models themselves without permission. By promoting a hybrid strategy, the administration intends to ensure that critical data remains under local control, utilizing open-source models where transparency is needed and being more selective with proprietary options.
Upcoming Regulatory Framework
This policy direction is expected to intensify as the Ministry of Electronics and Information Technology prepares for tighter oversight. IT Minister Ashwini Vaishnaw confirmed that a new consultation paper on AI regulation will be released within the month. This upcoming document is expected to focus heavily on safety, deepfake mitigation, and a human-first approach. The introduction of these rules will likely change procurement standards for both government agencies and large enterprises, shifting the priority toward data residency and security over immediate model performance.
Cyber Risks and Enterprise Challenges
The push for these protective measures comes amid rising concerns regarding the security of AI implementation. Reserve Bank of India Governor Sanjay Malhotra has recently flagged AI-driven cyber risks as a significant threat to financial stability, calling for stronger defensive infrastructure. For many businesses, the risk is already visible; recent data indicates that 84% of Indian enterprises have encountered scenarios where AI tools accessed sensitive data beyond their intended scope, despite having existing governance policies in place.
Potential Impact on Business
For investors and corporate stakeholders, this policy shift suggests a future where compliance costs regarding AI usage will likely rise. Companies that provide secure, compliant, or hybrid AI infrastructure may see increased demand as enterprises scramble to align with the government’s security-first requirements. Meanwhile, businesses heavily reliant on third-party proprietary AI may face new operational hurdles or the need to restructure their data pipelines. The next important step for the industry to track is the release of the upcoming consultation paper, which will define the specific compliance standards and technical requirements for operating AI systems in India.