ID R&D introduced IDLive Doc, a stand-alone document vivacity detector that validates the physical presence of documents used during digital verification of customer identities online. In just a few hours, the product can be added to any Know Your Customer (eKYC) integration or electronics solution, providing another layer of fraud prevention for banks, businesses in the gig economy. , telecommunications operators and others.
Digital integration and eKYC solutions typically require a user to present their photo ID and take a selfie. In the background, facial recognition ensures that the photo on the ID matches the selfie. The detection of facial vividness validates that the person is present and not a travesty. Document verification confirms the authenticity of the identity document.
A gap in this process is the assurance that the displayed identity document does not come from a mobile device or a computer screen. This growing attack vector, known as a document screen replay attack, is effective with authentic or altered credentials and which are currently not reliably detected by remote integration systems.
IDLive Doc uses AI and relies on the same neural processing approach used in ID R&D’s passive facial vividness detection product to detect document screen replay attacks in real time.
Modern high resolution video displays make it very difficult for the human eye to distinguish between a photo of a document and a photo of a digitally displayed image of a document. When this fraud is successful, it often goes unnoticed until further fraud signals or a fraud event triggers an audit.
IDLive Doc is uniquely designed to prevent screen replay attacks from taking the next step in the identity verification process, quickly and early reporting potential fraud without any human involvement. The product dramatically improves anti-fraud capabilities while reducing the cost and latency of such analysis.
ID R&D has invested heavily in the research and development of its single-frame passive facial animation product. These algorithms that can detect the vividness of a selfie in less than a second are the same algorithms used in IDLive Doc.
“We are delighted to be the first to bring this critical anti-fraud technology to market,” said Alexey Khitrov, CEO of ID R&D. “Responding to the demand from multiple customers to help solve the problem of document screen replay attacks was a challenge we were ideally placed for and now we have a product that quickly solves the problem without friction. The return on investment is obvious.
IDLive Doc can be connected to any integration solution by installing a Docker image and making a single API call. The product is currently available in beta.