KB Insurance Uses AI to Analyze Instagram and Catch Insurance Fraud

KB Insurance announced on the 27th that it has developed a system that analyzes external data based on artificial intelligence (AI) to prevent insurance fraud occurring in digital environments.

[Asia Economy Reporter Oh Hyung-gil] KB Insurance announced on the 27th that it has developed a system that analyzes external data based on artificial intelligence (AI) to prevent insurance fraud occurring in digital environments.

In the past, insurance fraud was committed by people with personal connections conspiring together, but recently, the proportion of fraud committed by people without personal connections conspiring on digital platforms has been increasing.

Since previous insurance fraud analysis systems relied on data centered on past insurance fraud suspects and cumulative insurance claim information, there were limitations in detecting premeditated acts in advance.

The 'SMA (Social Media Analytics) system' developed by KB Insurance this time collects external data such as portals, blogs, news, Instagram, Twitter, as well as hospitals, disease names, and treatments, and detects suspicious insurance fraud documents by scoring risk levels through a detection process to identify abnormal signs and provide results.

KB Insurance plans to promptly utilize abnormal sign information to block insurance fraud occurrences in advance.

A KB Insurance official said, "Insurance fraud is expected to expand further centered on digital environments due to the accelerating trend of non-face-to-face interactions," adding, "We will continuously advance the SMA system to establish an insurance fraud prevention system that can protect good customers."

This content was produced with the assistance of AI translation services.