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Vodafone-Idea launches AI-powered spam detection tool: here’s how it will work
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Vodafone-Idea launches AI-powered spam detection tool: here’s how it will work

Vodafone-Idea launches AI-powered spam detection tool: here's how it will work

Telecom operator Vodafone-Idea introduced a spam management solution powered by AI and ML. The company says the new solution is designed to proactively detect and report potential spam messages through an automated machine-based solution, helping Vi users maintain a secure and clutter-free mobile experience. Since its initial testing phase, the solution has already flagged more than 24 million spam emails.
Speaking about the development, Jagbir Singh, CTO, Vodafone Idea Limited, said, “As more and more customers adopt digital communication, we recognize the growing threat posed by SMS spam and attempts to potential scam. OUR AI-powered spam detection Technology reinforces our commitment to customer security by providing proactive, real-time protection. Vi strives to stay ahead of these threats and provide customers with information to make their mobile experience safer.

How Vi’s SMS Spam Solution Works

  1. Real-time scanning: The system continuously scans incoming SMS messages using AI algorithms trained on millions of examples, identifying potential threats including fraudulent links, unauthorized promotions and attempts to identity theft. Real-time monitoring enables immediate action against suspicious activities.
  2. Pattern recognition: By leveraging sophisticated machine learning algorithms, the predictive system learns incoming data patterns such as phishing links, unusual sender details, and commonly used phrases in spam messages to improve its performance. detection capabilities over time.
  3. Spam Marking: Messages identified as spam will be marked as “suspected spam” to instantly alert users and help them make informed decisions about their communications. This smart approach not only improves security, but also ensures that authentic communications are not lost in a sea of ​​spam.
  4. Continuous Improvements: Through Machine Learning, it will continually improve by adapting to new spam trends, improving accuracy and efficiency. This means that it evolves and adapts to new types of spam as they emerge, protecting users from new threats.

Benefits for customers

  1. Enhanced Security: By flagging potentially harmful spam, the service provides customers with information about suspected spam messages, protecting them from potential phishing and scam attempts.
  2. Seamless integration: The service is automatic and requires no setup, app installation, or payment from customers.