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Project Sudarsan: How Sebi is using AI to police finfluencers with 60% of investors trusting their advice
Sebi is stepping up its use of artificial intelligence to monitor misleading financial advice on social media. Its Project Sudarsan tracks unsolicited advice, while Sebi R(AI)DAR reviews advertisements. The regulator said 62% of investors are influenced by finfluencers, highlighting the need for
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SEBI is using AI to monitor social media for fraud
* Access the chapter nine of the SEBI Annual Report 2025-26 from here. The Securities and Exchange Board of India (SEBI) is using an AI system which scans public social media content for fraudulent investment claims. The system also detects unregistered advice and impersonation of regulated
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India's market regulator SEBI has launched Project Sudarsan, an AI-powered system that scans social media for fraudulent investment claims and unregistered financial advice. The move comes as 62% of investors report being influenced by finfluencers, with over 20,000 fraudulent posts already identified since November 2025.
India's Securities and Exchange Board has deployed Project Sudarsan, an AI-powered surveillance system designed to monitor social media for fraudulent investment claims and unsolicited financial advice. The initiative addresses a growing concern revealed in SEBI's latest investor survey, which found that 62% of investors are influenced by finfluencers when making investment decisions
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. This statistic underscores why SEBI has prioritized technology-based supervision as retail participation surged following the pandemic, particularly in high-risk areas like options trading.Project Sudarsan, which stands for Surveillance of Unauthorized Digital Activity via Real-time Scanner for Anti-fraud, became operational in November 2025 and has already identified over 20,000 instances of fraudulent content on social media platforms
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. The system uses multimodal AI to analyze speech, visuals, and regional-language content across major platforms including YouTube, Instagram, and Facebook. It scans publicly available videos, messages, images, and advertisements, combining this information with behavioral and regulatory parameters to assign risk scores and generate alerts for further scrutiny2
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Source: MediaNama
The AI as a regulatory tool specifically targets promises of guaranteed investment returns, fake certifications, impersonation of SEBI-regulated entities, and investment advice offered without required registration. SEBI chairman Tuhin Kanta Pandey emphasized that the regulator's approach is calibrated rather than heavy-handed, describing it as "more like a surgeon's knife—identifying problem areas and dealing with them"
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.Complementing Project Sudarsan, SEBI has rolled out Sebi R(AI)DAR, an AI-enabled platform designed to review advertisements and investor education material issued by asset management companies
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. This system flags possible violations including missing mandatory disclosures and the promotion of investment products disguised as educational content2
. The Association of Mutual Funds in India has deployed this system as part of the broader digital surveillance infrastructure.Together, these tools represent SEBI's shift from manual and complaint-led supervision toward proactive, technology-based monitoring aimed at detecting potentially harmful content before it causes widespread damage. The regulator has already removed more than 1.2 lakh misleading social media posts by unregistered finfluencers using these AI tools
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SEBI's digital investor protection plan extends beyond monitoring misleading financial advice on social media. The regulator has introduced Validated UPI handles and the SEBI Check facility, allowing investors to verify in real-time whether payments are going to genuine SEBI-registered intermediaries
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. SEBI has also partnered with Google Play for a verified app label initiative, giving investors a visible signal that stock trading apps belong to genuine SEBI-registered brokers. This tackles the proliferation of fake trading apps, fraudulent payment requests, and impersonation of registered intermediaries.While SEBI states that Project Sudarsan only uses publicly available content linked to securities-market fraud and regulatory violations, the annual report leaves critical questions unanswered. The regulator has not disclosed which specific social media platforms the system covers, how long it retains collected data, what safeguards govern risk-scoring algorithms, or what recourse users have if content is wrongly flagged
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.These concerns echo earlier controversies around government surveillance in India. In 2018, the Union government proposed a Social Media Communication Hub to monitor platforms including WhatsApp, Twitter, and Instagram. The Supreme Court observed that such proposals could create a "surveillance state," prompting the government to withdraw the project
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. A similar 2020 proposal by Broadcast Engineering Consultants India Limited faced challenges from the Internet Freedom Foundation over privacy and free speech concerns.Unlike those earlier proposals, SEBI has not indicated that Sudarsan monitors private messages or emails. However, the continuous scanning, analysis, and classification of large volumes of public online speech using automated surveillance raises questions about transparency, accuracy, oversight, and data retention policies that remain largely unaddressed in the regulator's current disclosures
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