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1 Trillion Data Points a Day: How Airtel Built a Scalable Spam Defense

  • vidyaradhakrishnan6
  • Jul 22, 2024
  • 2 min read

Updated: Sep 14, 2025

Over the past few weeks, I’ve been noticing something subtle but interesting on my airtel SIM on my android phone. Calls now show up as "Suspected Spam", no Truecaller, no app, just a native system flagging risky numbers before I even decide to pick up.

🚀 airtel's AI Spam Detection System

What’s fascinating is that this isn’t just a filter, it’s AI deployed at the network layer. Every single call and SMS is being processed in real-time (~2ms latency) across 1.5 billion messages and 2.5 billion calls per day. That’s over 1 trillion data points daily.

And the AI engine is doing this using:

  1. 250+ real-time parameters (call frequency, device churn, sender history)

  2. URL-level phishing detection in SMSes

  3. IMEI-based fraud pattern spotting

  4. Self-evolving spam models built in-house by Airtel’s data science team

🎯 Why This is Brilliant Product Thinking

  1.  Built into the network: No friction for 550M+ users

  2. Works even for feature phones in rural India

  3. Spam alerts in 9 Indian languages

  4. Real-time, scalable, zero-touch intelligence

  5. Protects UPI, OTP-based banking, and digital commerce at the root level

While i-Phone offer spam filters through device-level features and third-party apps, what Airtel has built operates at the infrastructure layer, making it not just smarter, but universally accessible across devices, geographies, and even feature phones. It’s a perfect example of AI applied to digital public infrastructure. And honestly, it’s solving a national-scale user pain.

While I love what’s built, here’s what I’d optimize:

  1. False positives: I’ve seen a few delivery and support calls flagged incorrectly, some whitelisting or feedback mechanism would help fine-tune the model.

  2. Business Visibility Tools: Provide APIs or a dashboard for verified businesses to check if their calls are being flagged as spam, understand why, and request verification or correction. This would reduce false positives and build trust with legitimate service providers.

  3. Transparency: A simple dashboard in the thanks app or SMS digest for users to review what was blocked, when, and why would increase trust even more.

 

 
 
 

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