Sebi worried about social media will now be equipped with technology: Sebi chairman

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Mumbai, Ta. January 24, 2020, Friday

After the scandals have been caught by logging in to Facebook and online Matrimonial sites, the Securities and Exchange Board of India (SEBI), the market regulator, will launch itself with high-end social media surveillance tools to drive more searches and manipulate marketers.

Sebi chairman Ajay Tyagi said Sebi was in the process of building its social media technological capabilities to monitor and prevent manipulation. Tyagi said at a research conference organized by the National Institute of Securities Markets. That regulators worldwide are increasingly accepting surveillance information from social media platforms. Sebi will watch as many market manipulators as possible on social media posts, gaining the ability to analyze and analyze them.

In a case related to Deep Industries in Year 1, Sebi was found to have Facebook friends and regularly posted each other's posts by the entities involved in the Insider trading case. In December, the SEBI profile on Fidelity Group's insider trading case traced the links between the two units and profiled it on MetroMonial's site, JainSubhaban.com. Sebi has also issued show-cause notices to seven units for leaking non-disclosure financial information to companies listed on WhatsApp groups, including analysts and journalists.

Sebi has now increased social media surveillance to find links between potential criminals in insider trading cases, as traditional tools such as share holding pattern tracking and rules that your customers know are failing to deliver results. Sebi is now acquiring technology and unstructured data analysis. Sebi is already increasing its analytical capabilities with its Advanced Tools by planning the Dota Lake project. He further said that social media platforms have a lot of data, so monitoring them is a complex task.

Sebi can get help from the IT Ministry's Project Insight for this. Which uses artificial intelligence and analytics to create a low-profile taxpayer profile of low-income taxpayers. AI or ML-machine learning can be helpful in certain technologies,

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