There we, Indonesia's leading fintech lending platform, are taking proactive steps through the use of artificial intelligence technology, in suppressing digital fraud.

With AI Ada Kami technology, these efforts are claimed to be able to handle cases of attempted identity theft and prevent fraud of up to 95 percent.

This step is in line with data from the Financial Services Authority (OJK) which found that during 2023 there was an increase in cases of identity theft by 25 percent in Indonesia, which caused a loss of more than Rp 500 billion.

"This is why cybersecurity is an important pillar for the sustainability of the industry," explained Bernardino Moningka Vega, President Director of Ada Kami in an official statement received on Friday, February 14.

Bernardino also emphasized that currently, Ada We have integrated artificial intelligence (AI) technology into the loan application process.

This integration includes an electronic mechanism of Know Your Customer (e-KYC) and AI technology that can detect fraudsters by identifying anomalies in the photo background, and requiring prospective borrowers to upload copies of their identity cards and self-photos.

Later, the system will verify the data provided by cross-checking with trusted databases or government sources. Meanwhile, AI algorithms work to detect and analyze biometric documents and data, marking anomalies and potential fraud risks.

AI-based technology can also identify manipulated images or videos by detecting inconsistencies, such as unnatural expressions, inappropriate lighting, or frame inconsistencies, "he added.

As a fintech lending platform, Ada We are committed to protecting our users in the digital world. Even though AI adoption helps prevent identity theft, Ada We urge the whole community to stay introspective.


The English, Chinese, Japanese, Arabic, and French versions are automatically generated by the AI. So there may still be inaccuracies in translating, please always see Indonesian as our main language. (system supported by DigitalSiber.id)

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