ID Analytics today announced the availability of ID Analytics for Authentication, a network based authentication solution that enables organizations to validate customer identities during online and call center interactions.

ID Analytics for Authentication accurately separates legitimate and suspicious identities while reducing customer abandonment rates and lowering the cost of an authentication session by up to 50 percent.

Consumers’ demands for speed and convenience during online and call center interactions have resulted in an increased need for organizations to serve customers whom they may never actually meet. Identity proofing supports critical interactions across the customer lifecycle including new customer enrollments, password resets, address changes, issuance of security credentials, or the execution of high-value transactions.

While online credentials such as passwords and identification tokens are often authenticated prior to each transaction, the identity associated with the credential is only authenticated once — during the initial identity proofing process. This same challenge applies to physical credentials such as credit cards and government issued identity documents.

ID Analytics for Authentication is a network based authentication solution that leverages Advanced Analytics and the ID Network to intelligently authenticate individuals. By clarifying the complex information patterns that make up an individual identity, ID Analytics for Authentication provides the ability to differentiate between high- and low-risk identities while eliminating unnecessary, intrusive contact with legitimate, trustworthy customers. In addition, this technology protects organizations, and the customers they serve, by detecting the attempted use of synthetic, or fictitious, identities — overcoming a known limitation of most data verification tools.