Indian telecom operator Vodafone Idea (Vi) has announced that it is rolling out a spam management solution powered by artificial intelligence (AI) and machine learning (ML) to protect its users from spam SMS threats. According to Vodafone Idea, this real-time system identifies and flags potential spam, such as phishing links and unauthorised promotions, enhancing user safety and delivering a clutter-free mobile experience.
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Real-Time Spam Detection System
Since its initial testing phase, the solution has detected and tagged over 24 million spam messages, Vi said noting that Incoming messages identified as suspicious will now be labeled as "Suspected Spam," enabling users to avoid potential scams.
"With spam messages on the rise, which are often used as a gateway to frauds, Vi's Spam SMS solution will safeguard customers by identifying and managing unsolicited and potentially harmful text in real-time," the company said.
Commenting on the development, Jagbir Singh, CTO of Vodafone Idea Limited, said: "As more customers embrace digital communication, we recognise the growing threat posed by SMS-based spams and potential scam attempts. Our AI-powered spam detection technology reinforces our commitment to customer safety by delivering proactive, real-time protection. Vi is focused on staying ahead of these threats and empowering customers with information to make their mobile experience safer."
As part of its commitment to customer safety and experience, Vi said it is continuously working to develop solutions to curb spam, including voice calls, to ensure its users are further protected from unsolicited calls.
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Vi Tackles Digital Fraud
These measures complement Vi's existing initiatives, such as enabling a user-friendly mobile app interface for filing spam complaints. This includes automatic capture of spam content, sender numbers, and dates, as well as whitelisting trusted URLs in brand messages.
Vi also uses consumer feedback and complaints into its Unsolicited Commercial Communication (UCC) detection system, which identifies patterns of bulk calls—such as calls made from a single number to many different recipients—and restricts their use to prevent further abuse.
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Machine Learning Improves Spam Detection
Leveraging machine learning algorithms, the predictive system learns from incoming data patterns such as phishing links, unusual sender details and phrases commonly used in spam messages to enhance its detection capabilities over time, Vi explained.
Additionally, Vi said it runs regular user awareness campaigns to support efforts against digital fraud. The service operates automatically, requires no setup or app installation, and is free of charge, offering robust protection against phishing and scam attempts.