Now Reading: Sebi expands AI surveillance to corporate filings
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Sebi expands AI surveillance to corporate filings
Sebi is planning to extend its artificial intelligence-based surveillance from trading data to corporate filings, aiming to proactively detect financial misstatements and manipulation in quarterly results. The regulator has developed a dedicated…
Sebi is planning to extend its artificial intelligence-based surveillance from trading data to corporate filings, aiming to proactively detect financial misstatements and manipulation in quarterly results. The regulator has developed a dedicated team and an AI model for this purpose, Sebi whole-time member Kamlesh Chandra Varshney indicated at a Ficci conference. Corporate investigations have historically been complaint-driven, but the new tools will allow Sebi to track quarterly results and identify violations without waiting for complaints.
Existing AI tools deployed by Sebi include R(AI)DAR for reviewing misleading advertisements and Project Sudarsan for real-time fraud detection across social media, which has identified over 20,000 instances of fraudulent content. The regulator also uses InfoMerge, an in-house application that automates investigation activities, and Cyber-Sec Audit Compliance (C-SAC) for automating cybersecurity audits of regulated entities.
Indian Opinion Analysis
Sebi's move to AI-driven corporate filing surveillance fills a gap left by its largely reactive enforcement model. Unlike trading violations, where algorithms already flag anomalies in real time, corporate financial misstatements have depended on whistleblowers or investor complaints, often surfacing months after the fact. The new model mirrors the logic of the regulator's existing trading surveillance, but applying it to quarterly results is technically harder: unstructured text, varied accounting treatments, and the risk of false positives are real hurdles. The team Varshney referenced will need to train the model on past restatements and enforcement cases to be effective. The next signal to watch is how soon the model moves from pilot to live alerts on listed companies' financials.
Source: rediff.com
This brief was synthesised by AI from the source linked above.
