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AuthenticID Launches On-Demand Serverless Microservices

AuthenticID Launches On-Demand Serverless Microservices

AuthenticID, a global leader in identity proofing and fraud prevention solutions, announced the launch of its on-demand serverless Identity Microservices available as AWS Lambda cloud functions.

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The company’s Identity Microservices offer a portfolio of ID document and facial biometric microservices that can be assembled via single line of code programming to support virtually any identity-related use case application. With a capacity of up to one billion transactions per day or 20,000 transactions per second, AuthenticID’s scalable solution allows companies to meet the changing demands of their business.

“Our new Identity Microservices portfolio provides the necessary components to build and deploy custom identity workflow applications more quickly,” says AuthenticID CEO, Jeff S. Jani. “Plus, our Identity Microservices are built for lightning-fast automated processing without ever saving data to disk, creating an optimum data privacy regulatory compliance and data security result. Even better, these services provide virtually unlimited auto scaling without human intervention, enabling our vision to support the highest volume identity use cases in the world,” added Jani.

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AuthenticID announced a scaling milestone in July 2021 with its ability to process over one billion Identity Proofing transactions per month based upon its Kubernetes architecture. This architecture was built and deployed for high-demand government use cases and was made possible by its 100 percent proprietary automated machine learning platform.

“Our ability to process complex Identity Decisioning transactions without humans is what sets us apart for speed, scale, accuracy, and as we reported near zero algorithmic decisioning bias,” noted Richard Huber Jr., CTO of AuthenticID. “This launch also advances us to our 2022 goal: to operate one of the most highly sophisticated MLOps computer vision platforms in the world, as a true industry leader for automated identity decisioning,” added Huber.

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