IDology’s ID verification, anti-fraud technology added to Microsoft Azure AD for frictionless onboarding

IDology’s multi-layered ExpectID identity verification and anti-fraud technology has been integrated with Microsoft Azure Active Directory (Azure AD) External Identities for a seamless user experience during the onboarding process, the company announced.

“We’re pleased to enable our customers to utilize IDology’s ExpectID solutions with Microsoft Azure Active Directory,” Sue Bohn, Partner Director of Program Experience, Microsoft Identity Division, at Microsoft Corp. said in a prepared statement. “Our B2B and B2C customers can obtain the power of a multi-layered solution that rapidly detects fraud and provides identity verification, while not compromising on end-user experience.”

Identity verification in a secure and fast manner is a key product feature which ensures frictionless onboarding and helps meet consumer demands for a frictionless experience, according to the announcement. IDology’s Second Annual Consumer Digital Identity Study found that 83 million Americans do not proceed with the account signup process if they experience friction.

“In today’s threat-heavy environment, detecting and preventing fraud require more than basic identity matching,” Christina Luttrell, COO of IDology, said in a prepared statement. “ExpectID accesses thousands of data sources and analyzes multiple layers of identity attributes that seamlessly work together to instantly verify identities and detect fraud so that Azure AD External Identities customers can quickly greenlight legitimate individuals with confidence or dynamically escalate to other methods if needed.”

ExpectID performs data analysis and helps companies build trust, ensure security and prevent revenue loss by identifying third-party contractors, guests, customers and other third parties. Azure AD customers can now install the identity verification and management product across all external identities for seamless verification, convenience and security.

Article Topics

biometrics  |  fraud prevention  |  identity management  |  identity verification  |  IDology