Ribbon Identity Hub

Ribbon Call TrustTM, is an identity assurance solution designed to help service providers restore their customers trust in the phone call.  At the core of this solution is Ribbon Identity Hub, providing real-time information indicating how to handle each and every call to optimize the likelihood that a call which should be answered, will in fact be answered.   

Ribbon Identity Hub is a managed service that provides real-time reputation scoring and call validation treatment so each call can be optimally handled.  Optimal handling means many things and is specific to each call, ranging from normal routing to the called party to outright blocking the call.  But to be truly valuable, call handling decisions need to be much more granular to enable call validation treatment  such as: normal routing to the called party with enhanced information about the originator, routing a call to voicemail, or routing to an announcement telling the originator the call cannot be completed.

Ribbon Identity Hub is designed as an open ecosystem with open APIs to feed data into Machine Learning models, using both real-time and non-real time data.  Open APIs enable:

  • Real-time queries of 3rd party transactional policy information, such as real-time attestation of caller identity from Ribbon STI.
  • Collection of non-real time, 3rd party policy data that can be crowdsourced, carrier-based, or subscriber provided
  • Integration of robocall and fraud information from Ribbon Analytics, based on analysis of network and call traffic (CDRs, KPIs)
  • Real-time policy requests from Ribbon PSX for reputation scoring and call validation treatment.

Ribbon Identity Hub

Ribbon Identity Hub

Features and Benefits

  • Dynamic, machine learning (ML) models for identity assertion and reputation scoring, based on multi-source data integration with iterative learning to adapt to new network conditions, traffic patterns, and data sources
  • Designed as an open ecosystem, with open APIs, that can ingest data from other applications or databases to increase the accuracy of the identity assertion modeling
  • Integration of both real-time and non-real time data sources
  • Leverage public cloud infrastructure to handle massive real-time processing with very low latency, because identity Hub is in the call path
  • Robust, high availability architecture