HomeNewsAirtel's AI-based Spam Detection System to Combat Junk Calls in India

Airtel’s AI-based Spam Detection System to Combat Junk Calls in India

Airtel’s AI-based Spam Detection System has been announced in India which can help fight junk calls and SMS in the country.

Airtel is deploying AI to combat spam calls in India, which has been a persistent issue across the country and requires a widespread solution. Airtel’s AI-based spam detection system is being touted as India’s first AI-driven, network-based spam filtering system, which can process an impressive 1 trillion records in real time.

Airtel’s AI-based Spam Detection System: What is it?

The feature will provide Airtel customers with real-time alerts for suspected spam calls and text messages, automatically enabled for all users at no extra charge. Gopal Vittal, Managing Director and CEO of Bharti Airtel stated that the telecom company spent 12 months developing the new spam detection system. “Spam has become a menace for customers,” he remarked.

The new system utilizes a dual-layer protection mechanism, filtering communications between the network and IT systems. According to the company, Airtel’s data scientists designed a algorithm that evaluates various factors, including caller usage patterns, call frequency, and duration, in real time.

Read More: Airtel Payments Bank Launches Transparent Banking, Fraud Alarm Features: All Details

This AI-powered solution processes an astounding 1.5 billion messages and 2.5 billion calls daily, equating to 1 trillion records analyzed in real-time. Airtel’s system has successfully identified 100 million potential spam calls and 3 million spam SMSes that are circulating every day, the company reported.

The AI system also analyzes content for malicious links, cross-checking them against a centralized database of blacklisted URLs. This added layer of security is designed to prevent users from unintentionally clicking on suspicious links. As per the telco, the system can also identify irregularities, such as frequent changes, which are often signs of fraudulent activity.

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