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# Network-Based Fraud Detection
Comviva and Aduna Strengthen Banking Security with Network APIs

By Mursal Rahman | Written with AI assistance | Published 2026-10-20 | Tech
Source: Trend Hunter, https://www.trendhunter.com/trends/network-based-fraud-detection
References: [prnewswire](https://www.prnewswire.com/news-releases/comviva-and-aduna-showcase-network-intelligence-for-financial-services-at-money2020-302912446.html)

![Network-Based Fraud Detection](https://cdn.trendhunterstatic.com/thumbs/645/network-based-fraud-detection.jpeg)

Comviva and Aduna are advancing network-based fraud detection by helping financial institutions use mobile operator information to verify identities and identify suspicious activity. Their collaboration connects Comviva's NGAGE platform with Aduna's standardized network APIs, allowing banks and fintech companies to access telecommunications data through a unified interface. This approach supports SIM-swap detection, which identifies potentially fraudulent changes to a customer's mobile number.

The companies are demonstrating these capabilities at Money20/20 USA in October 2026. NGAGE currently supports more than 7,000 enterprises and offers over 25 network APIs. Its verification tools can also reduce reliance on one-time passwords while simplifying customer onboarding.

For financial institutions, these capabilities could strengthen fraud controls while reducing authentication delays. The collaboration also creates opportunities for telecommunications providers to expand commercial API adoption as demand for secure digital financial services grows.

Image Credit: Comviva

## Trend Insights (Trend Hunter)

- Score: 5.1/10
- Popularity: 20% | Activity: 35% | Freshness: 98%
- Audience gender: 50% men, 50% women
- Primary generations: Millennial, Gen X
- Top markets: North America

## Categories

[Trend Hunter](https://www.trendhunter.com/trends) > [Tech](https://www.trendhunter.com/tech) > [AI](https://www.trendhunter.com/ai)

## Key Themes

### What's Driving This Trend

- **Network-verified Banking:** Telecom-sourced identity signals are creating new models for fraud prevention that combine banking authentication with real-time mobile network intelligence.
- **Sim-swap Risk Detection:** Automated recognition of mobile number changes offers financial platforms a stronger layer of defense against account takeover and social engineering fraud.
- **Passwordless Customer Verification:** Reduced dependence on one-time passwords reflects a shift toward invisible authentication systems that improve security while minimizing onboarding friction.

### Who This Affects Most

- **Financial Services:** Banks and fintech companies can differentiate digital security experiences by embedding network-based identity checks into payments, onboarding, and account access.
- **Telecommunications:** Mobile operators are positioned to commercialize trusted network data through standardized APIs that support fraud prevention across enterprise sectors.
- **Digital Identity:** Identity verification providers may expand into hybrid authentication frameworks that merge telecom data, behavioral signals, and financial risk analytics.

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