Identity Assurance

What do your customers do when they receive a phone call from someone they do not know or a number they do not recognize? Perhaps they answer it, but far more likely they reject it, send it to voice mail, or just ignore it. In our current telecommunications world, everyone does this, because they are barraged by spam and robocalls and assume the worst – someone wants to pitch something I do not need or want, or this will be an attempt to defraud me.

It would be way more useful, if your customers knew, in real-time, on a per call-basis, that the incoming call was from a legitimate source, for legitimate purpose, and had no malicious intent? Accomplishing this is what we call Identity Assurance and Ribbon Call TrustTM is our solution

 

Ribbon Call Trust Video

Ribbon Call Trust

To assist our customers in their integration of identity assurance into how they handle calls, Ribbon Call Trust, was designed and architected based on the following attributes:

  • Use of dynamic, machine learning (ML) models for reputation scoring, based on multi-source data integration. These are inferred behavior models with iterative learning to adapt to new network conditions, traffic patterns, and data sources
  • An open ecosystem, with open APIs, that can ingest data from other applications or databases to increase the accuracy of the reputation scoring models
  • Open APIs to perform real-time queries of 3rd party transactional policy information, such as real-time attestation of caller identity, based on STIR/SHAKEN Authentication and Verification Services
  • Open APIs to collect non-real time, 3rd party policy data that can be crowdsourced, carrier-based, or Spam/Robocall databases. This information is correlated and stored in a cloud database
  • Leverage Ribbon Analytics which can ingest real-time network and service data (CDRs, KPIs) from Ribbon or 3rd party network elements (SBCs, Call Controllers, and Gateways) to detect robocalls or fraud attempts. This information is fed into the identity assertion modeling
  • Take advantage of public cloud infrastructure to handle massive real-time processing with very low latency, because identity assurance decisions (the output of reputation scoring models) have to be available on a per-call basis, within 50 ms, to avoid affecting post dial delay
  • Robust, high availability architecture because identity assurance is in the call path
  • Ensure the ability to integrate TDM in the future

Ribbon Call Trust is comprised of the following Ribbon products and services: