Project SUDARSAN & R(AI)DAR — India's SEBI Uses AI to Flag Over 100,000 Pieces of Misleading Financial Content

India's Securities and Exchange Board of India (SEBI) has moved from occasional case-by-case enforcement to always-on AI screening of financial content, most visibly through two tools: Project SUDARSAN, which scans videos and social media for fraud markers such as guaranteed-return promises and fake regulatory certifications, and R(AI)DAR, which reviews advertisements for misleading claims.

Speaking in August 2026, SEBI chairman Tuhin Kanta Pandey said SUDARSAN has identified more than 20,000 instances of fraudulent content in real time, and that the regulator has flagged over 100,000 pieces of potentially misleading content to social media platforms — against a backdrop of roughly 550 crore (5.5 billion) daily order and trade messages generated across India's equity and derivatives markets. SEBI is simultaneously drafting a formal AI/ML governance framework for the wider market that would mandate human oversight, 'kill switch' controls and tiered accountability, and has said it plans to extend AI screening to misstatements in corporate financial filings.

The headline figures come from SEBI's own public statements rather than an independently audited report: coverage in Indian tech-policy press has noted that SEBI has run comparable social-media-monitoring efforts before with mixed follow-through, and no public precision, false-positive or enforcement-conversion rate has yet been published for either tool.

Read the full analysis: https://www.medianama.com/2026/08/223-sebi-ai-monitor-social-media-fraud-india/