Fraud Detection That Actually Works – AI and Machine Learning to detect, prevent and stop scammers
Your customers are getting fraudulent calls. Scammers are running up thousands in charges on elderly subscribers. International scammers are routing calls through your network, and they’re evolving fast.
Every day you don't catch fraud is another day fraudsters get better at stealing from your customers.
As opposed to traditional rule-based systems, that recognize traits from previous scams, our AI doesn't just detect fraud patterns—it learns from every attack. While fraudsters evolve their tactics, our machine learning evolves faster.
As fraudsters evolve their tactics and new risks emerge, our unsupervised machine learning algorithms allow you to remain protected against new threats.
Advanced filtering and analysis not only puts information at your fingertips but delivers clear visualization of fraudulent behaviours to provide clear and immediate insights into threats.
When threats are detected, alerts are automatically sent to the anti-fraud teams, enabling fast termination of number ranges across the network and reducing customer fraud.
The solution can identify calls from a single-number series, based on the Calling Line Identity (CLI), so you can identify the operator sending specific traffic into your network.
By analysing summaries from both the calling and called phone numbers and by looking at an aggregate of all the traffic in the network, the solution can automatically discover threats.
Quickly identify fraudulent calls by specific characteristics such as known fraudulent number series or calls that terminate in specific number series.
Endre Syvertsen, Sr. Product Manager – Fraud Solutions, Telenor Linx
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