AnalyzeData’s SIP anti-fraud solution is a breeze to implement. We offered tailored implementation options that suit every case. Choose from a variety of open-source no-code implementation options, or if you insist, we offer a variety of SDKs so your developers can dig in!
The AnalyzeData SIP analysis platform allows you to send numbers with up to three digit anonymised. This means individual users can no longer be linked to the data, ensuring GDPR compliance.
Compared to the existing anti-fraud solution that was in place, AnalyzeData detected fraud (on average) 17 hours earlier. In the most extreme case, fraud was detected by AnalyzeData 32 days before the existing system triggered.
Most existing anti-fraud solutions operate on a CDR basis, alerting when user bills exceed their threshold. Unfortunately, once CDRs are generated, the damage is already done. AnalyzeData can be deployed directly into the SIP stream, already detecting fraud when SIP INVITE’s are sent.
Every user is different, which is why AnalyzeData’s platform learns from each of your users, and adjusts its algorithm accordingly. This is why we produce 100x less false alerts than existing anti-fraud solutions.
Many billshock and anti-fraud systems block entire users when fraud is detected, causing downtime even for legitimtae calls. Because AnalyzeData inspects individual calls, we are able to stop fraud, but leave legitimate traffic unimpacted. This reduces customer downtime by over 11x.