Truecaller brings AI-based SMS fraud protection: What is it and how does it work

Truecaller has introduced Artificial Intelligence (AI) based SMS protection feature for its users. The feature combines user feedback with Truecallers proprietary machine learning intelligence to fight fraudulent messages and senders.

The company says that the fraud protection feature will be especially helpful for those who cannot detect fraud and mistakenly believe that they are dealing with legitimate businesses.

Truecaller is estimated to be used by over 100 million people truecaller Received at least one fraudulent SMS in the last three months. These frauds are of many types including electricity bill payment, bank, job offer, KYC related, loan, charity, lottery.

The new Fraud Protection feature can intelligently identify fraudulent senders and messages. Truecallers system is optimized to automatically discover new forms of fraud even without user reports.

How Truecaller Fraud Protection Works

Truecaller fraud protection feature currently available to all Android users in India for free. With the new feature, the Truecaller app will show a clearly marked red notification if the user receives a fraudulent message. The notification will warn the user not to take action.

The notification will remain on the screen until it is manually dismissed. If the user misses the alert and opens the fraudulent SMS, Truecaller automatically deactivates all the links. The company says that SMS threads will only be accessible if the user explicitly marks that sender as safe, adding another layer of protection against fraud.

Truecaller clarifies that the app does not upload any messages. All processing happens locally on the device, thanks to Truecaller’s advanced AI filters.

According to the company, what sets Fraud Protection apart is that it uses advanced artificial intelligence technology to predict fraud SMS. Truecaller fraud protection is currently being launched in India, but Truecaller is exploring other markets as well, the company said.

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