Detecting and mitigating fraud in messaging
DataHex and real-time analytics, anomaly detection
Challenge
Fraud at a scale nobody could measure
Application-to-person (A2P) messaging providers lacked clarity on the scale of fraud such as phishing and spam, regulators and mobile network operators were losing confidence, and consumer trust was declining, against a backdrop of global messaging volumes forecast to reach 3.5 trillion messages a year and related losses forecast to grow steeply.
Clients wanted a better understanding of customer behavior and proactive tools to manage compliance and experience.
Solution
Anomaly detection in the message flow
Deep analytics to identify fraudulent messages and senders; real-time detection of anomalous messages; enriched data streamed to a live dashboard of customer activity, message themes, and irregularities; a data store for further data science; and an API that returns fraud flags within message management, enabling alerting and mitigation before customer impact.
What DataHex delivered
- Deep analytics on messages and senders Identifying fraudulent traffic across the network.
- Real-time anomaly detection Enriched data streamed to a live dashboard of customer activity, message themes and irregularities.
- A data store for further data science Supporting ongoing model development.
- Fraud flags returned by API Within message management, enabling alerting and mitigation before customer impact.
Results
Detection before customer impact
- A high-availability, redundant, scalable, and resilient platform with the reporting features required
- An optimized cost profile
- A modular serverless architecture with no lock-in
- Infrastructure to support product development at scale
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