The Utel Fraud Detection engine leverages our market-leading Network Monitoring technology to detect and resolve telecoms voice and messaging fraud.
The solution deploys virtual network probes that harvest calling data directly, generating Call Detail Records (CDRs) that provide a complete overview of the voice and messaging traffic across the network to quickly identify suspicious activities and patterns.
The collected data is analysed in real-time, and our exclusive algorithms identify fraudulent traffic profiles. Dynamic alerts and alarms are generated, enabling rapid escalation to the anti-fraud team for urgent investigation. Utel Fraud Detection delivers immediate results and ROI – reducing losses due to fraud, increasing customer satisfaction, and reducing churn.
Telecoms network fraud is increasing in scale and sophistication. Multiple types of fraud must be urgently countered (and new variants are constantly emerging) by tracking and identifying the complex behaviours and metrics that can be used to expose illegal activity.
Utel’s fraud detection solution offers advanced and evolving functionality, and a new, simple-to-use interface that means any user can detect questionable activity not only when fraud occurs but also the source of the threat (by operator, country, etc.).
Build up in-depth expertise of what constitutes normal and abnormal, fraudulent traffic in your network by analysing traffic on a continual basis.
Analyse the ‘Calling’ and ‘Called’ numbers of every suspect phone call, as well as the identity of the operator from which the calls are received or routed.
Identify fraudulent calls. Block suspicious calling numbers and reduce customer fraud, improve customer satisfaction, and reduce churn.
Fraudulent calling schemes appear and disappear quickly. You need to react fast and block number ranges while they are still in use.
Regulatory compliance audits must be addressed but it can be challenging to do so when they include current and planned initiatives to combat fraud.
Reduce costs by up to 90% through efficient monitoring and operations. Set up alarms when new abnormal traffic patterns appear and put anti-fraud teams in control.
Fraudulent calls are often identified by specific characteristics such as known fraudulent number series or calls that terminate in specific number series. You need to identify this information quickly.
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.
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.
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.
Advanced filtering and analysis not only puts information at your fingertips but delivers clear visualisation of fraudulent behaviours to provide clear and immediate insights into threats.
As fraudsters evolve their tactics and new risks emerge, our machine learning algorithms enable you to remain protected from emerging threats.
