“That investment account isn't me. We're fighting impersonation with AI”: MarqVision teams up with “Rich Sister” Yu Su-jin to provide impersonation protection

• MarqVision partners with personal finance influencer “Rich Sister” Yu Su-jin, providing a solution that detects and takes down impersonating accounts and posts
• The impersonation protection service uses AI to monitor websites, social media and messaging apps in real time and stop impersonation
• Social media and chat platforms carry the most likely impersonation posts; about 90% of impersonation content is taken down
• Inquiries keep coming from financial firms such as Toss, Dunamu, Bithumb and DAOL Investment & Securities, as well as entertainment companies

MarqVision is now detecting and taking down posts that impersonate public figures, not just financial firms.

AI company MarqVision (CEO Mark Lee) announced that it has teamed up with personal finance influencer “Rich Sister” Yu Su-jin to provide an impersonation protection service that detects and takes down accounts and posts impersonating her.

Known by her nickname “Rich Sister,” financial expert Yu Su-jin shares money-management advice built on more than 10 years as a wealth manager and her experience and know-how in financial consulting. She is the author of books including “Rich Sister's Wealth Lectures”, “Rich Sister's Wealth Practice”, “Rich Sister's Money Note: KEY OF RICH” and “Dream of Being the Best FP”, and is popular for her many TV appearances and talks.

MarqVision protects Yu Su-jin's work with its impersonation protection service, which uses AI to detect and take down impersonating content online in real time. As impersonating posts that exploit her reputation, such as investment pitches, multiplied on major social media, Yu Su-jin turned to MarqVision to solve the problem.

MarqVision's impersonation protection service is an AI-based solution that monitors impersonating content on websites, social media and messaging apps in real time and helps take action, from shutting down sites to reporting on platforms. It stands out for also detecting impersonation in ads shown on Google and Meta, further reducing impersonation harm across many channels. Its AI-powered data cleansing verifies the accuracy of the data collected and supports efficient enforcement.

As crimes impersonating public figures surge, interest in MarqVision's impersonation protection service is rising too. There is growing recognition that countermeasures are essential, because impersonation not only damages a public figure's reputation but hurts company and brand image and can directly harm consumers.  According to MarqVision, of the 6,375 likely impersonation posts detected since the service officially launched this year, 5,045, or about 79%, were found on social media and chat platforms, the largest share. The service's content takedown success rate is currently about 90%.

MarqVision will keep upgrading the service. It plans to further advance its monitoring, adding alerts to customers when removed impersonation content is re-uploaded, and to offer an “impersonation cluster” feature that identifies impersonators operating as organized groups across platforms, going beyond taking down individual content or channels to build a system for more fundamental enforcement.  It also plans to add monitoring of deepfake videos and text-message impersonation to respond to an even wider range of impersonation crimes.

“My biggest worry was that impersonation could not only damage my reputation but unintentionally cause financial losses for the people who trust me,” said a representative for Yu Su-jin. “We will use MarqVision's solution to respond thoroughly to impersonation and take active measures.”

“Beyond the impersonation of companies and institutions, cases of public figures being impersonated on social media have surged since the second half of last year, and impersonation crime has become a social problem that can no longer be ignored,” said Mark Lee, CEO of MarqVision. “MarqVision will keep advancing its solution to use AI to detect and take down impersonating posts that damage the reputation and credibility of corporate and individual customers, and to prevent the harm impersonation crimes do to consumers.”

MarqVision recently raised a KRW 22 billion ($16 million) Series A+ round and launched Marq AI, which integrates its existing products on a generative AI foundation. The impersonation protection service, offered as part of its brand protection solution, is quickly adding customers, with steady inquiries from leading fintech and financial firms such as Toss, Dunamu, Bithumb and DAOL Investment & Securities, as well as media and entertainment companies.