Airtel Halts 71 Billion Spam Calls, Slashes Scams 70%

TELECOM
Whalesbook Logo
AuthorAnanya Iyer|Published at:
Airtel Halts 71 Billion Spam Calls, Slashes Scams 70%
Overview

Bharti Airtel has flagged over 71 billion spam calls and 2.9 billion messages since 2024, employing an AI-based filter to block fraudulent links and behaviors. This initiative has resulted in a 70% reduction in scam incidents for Airtel users compared to other networks. Google also reports blocking billions of calls monthly, highlighting a significant industry-wide effort against digital fraud.

The global cost of digital fraud now exceeds $1.03 trillion annually, underscoring the escalating threat posed by increasingly sophisticated scam operations. These scams have evolved from rudimentary phishing attempts to industrialized actions run out of high-tech call centers, employing advanced social engineering tactics. Bharti Airtel, in its robust defense, utilizes over 250 distinct parameters to identify spam and fraudulent call patterns in real time. Rather than targeting individuals, the system tags specific caller behaviors, assigning an AI-driven score based on these real-time analytics.

This commitment to user protection is complemented by significant contributions from Google. Anirban Nandi, Country Director for Android Ecosystem at Google, shared that the search giant has helped block over 2 billion suspected spam and scam calls monthly in India. This dual-layered approach, combining telco and on-device intelligence, is estimated to save over Rs 1,110 crore in potential fraud each month across the country.

Concerns are also mounting over evolving victim demographics. Data indicates that younger generations, specifically GenZ and millennials, are twice as likely to fall victim to scams compared to the elderly. This trend is partly attributed to an "overconfidence paradox," where a majority of users who believe they are digitally aware still fall prey to fraudulent calls within a year.

Disclaimer:This content is for educational and informational purposes only and does not constitute investment, financial, or trading advice, nor a recommendation to buy or sell any securities. Readers should consult a SEBI-registered advisor before making investment decisions, as markets involve risk and past performance does not guarantee future results. The publisher and authors accept no liability for any losses. Some content may be AI-generated and may contain errors; accuracy and completeness are not guaranteed. Views expressed do not reflect the publication’s editorial stance.