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Digital Identity, Fraud, Machine Learning, Identity fraud

Socure Raises $30M in Additional Financing to Identify the Human Race

Series C Round Doubles Funding Following Breakthrough Business Results in 2018 for AI-based Digital Identity Verification Platform
Posted by Socure on Feb 28, 2019

NEW YORK--()--Socure has raised $30 million in Series C funding led by Scale Venture Partners. Previous investors participating in the round include Commerce Ventures, Flint Capital, Two Sigma Ventures and Synchrony, as well as new investor Sorenson Capital.

The company announced that Rory O’Driscoll, partner at Scale Venture Partners, is joining its board of directors. This investment brings total funding to $57.5 million.

Identity verification, Machine Learning, Aida, Identity theft, Fake identity

Eight Leading Indicators of Fraud in Aida’s Insights Report

Posted by Socure on Oct 3, 2018

NEW YORK--()--Socure, announced the results of its first Aida’s Insights on Identity report, the Fake ID Edition. It found that identity fraudsters have virtually eliminated any single reliable indicator for detecting fake identities online. Data gathered from Socure customer transactions by Aida, the company’s identity verification robot, reveals that when considering common signs of fraud the difference between authentic and fake identities is nuanced at best.

Machine Learning, Aida

Identity Verification Bot Establishes Trust for Financial Transactions

Posted by Socure on Jul 19, 2018

Purpose-Built AI Platform Performs Deep Analysis of Consumers’ Online and Offline Footprints to Validate Authenticity of Digital Identities with 95% Accuracy

NEW YORK, July 19, 2018 --  Socure, a leading provider of predictive analytics for digital identity verification, today announced Aida (Authentic Identity Agent), the first and only purpose-built bot for establishing trust in online transactions. Named in honor of Ada Lovelace, the world’s first computer scientist, Aida uses artificial intelligence to process billions of multi-dimensional online and offline data points per second to validate the authenticity of digital identities in real-time.

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