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Government weighing local storage of AI models to mitigate risk associated with them
The government is weighing local storage of AI models to mitigate any risk associated with them and prevent flow of data outside the country, a senior government official said on Monday. While speaking on the sidelines of Digital Threat Report 2024 for the BFSI sector by SISA and Cert-In, Ministry
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Centre Considering Local Storage Of AI Models To Prevent Data Flow
The MeitY secretary also highlighted the rise of cybersecurity incidents in India, signaling improved public awareness and enhanced surveillance capabilities The Centre is reportedly considering local storage of AI models to minimise risks associated with them and prevent flow of sensitive data
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The Indian government is weighing the option of local storage for AI models to mitigate risks and prevent data flow outside the country. This move aligns with broader efforts to strengthen cybersecurity and safeguard citizens' data.

The Indian government is contemplating a significant policy shift towards local storage of artificial intelligence (AI) models. This initiative aims to mitigate risks associated with these models and prevent the outflow of sensitive data from the country. S Krishnan, Secretary of the Ministry of Electronics and Information Technology (MeitY), revealed this development while speaking on the sidelines of the Digital Threat Report 2024 for the BFSI sector
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.Krishnan emphasized that the government is closely watching Large Language Models (LLMs) in terms of their usage and impact. The primary concern lies in data sharing through portals or mobile apps, which could lead to data leaving the country and potentially being used to train AI models abroad. By hosting AI models within India, the risks of data outflow can be significantly mitigated
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.The government is also in the process of finalizing the rules for the Digital Personal Data Protection (DPDP) Act. Krishnan estimates that these rules may be in place within 6-8 weeks, playing a crucial role in preventing personal data leaks. The Act is expected to empower the government to restrict cross-border data transfers and mandate robust security measures for handling personal data
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.Krishnan noted an increase in cybersecurity incident reporting, indicating greater public awareness. This trend is viewed positively as it helps understand the extent and nature of cybersecurity problems. The rise in reporting also suggests improvements in the country's overall surveillance capabilities and capacity to detect incidents across the cybersecurity landscape
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The focus on localizing AI models aligns with India's broader ambition to establish itself as a global leader in AI while prioritizing national security. The government has introduced initiatives like the IndiaAI Mission to foster AI development through public-private partnerships, GPU procurement, and support for startups
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.The data localization requirements under the DPDP Act are prompting global AI companies like OpenAI, Microsoft, Google, and Amazon to consider setting up or expanding their local data storage in India. Meanwhile, India's homegrown AI industry has seen significant progress, with over 200 GenAI startups raising more than $1.2 billion since 2020. Companies like SarvamAI and Krutrim are developing Indic LLMs, while others like ObserveAI are leveraging AI for customized business solutions
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