Socure

Socure
Socure is the leader in high-assurance digital identity verification. The company’s predictive analytics platform applies artificial intelligence and machine learning to trusted online/offline sources including email, phone, address, IP address, social media and traditional GLBA/DPPA data to authenticate identities in real-time. The Socure ID+ platform reduces fraud by up to 90 percent, lowers manual review/knowledge-based authentication (KBA) rates by as much as 80 percent, and automates Customer Identification Program (CIP), Know Your Customer (KYC) and anti-money laundering (AML) compliance initiatives.
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Recent Posts

Money 20/20, Identity verification, KYC, AI

Fewer humans, more collaboration, better UX: The future of AI for identity verification

Posted by Socure on Nov 19, 2018

Socure Founder and Chief Strategy Officer Sunil Madhu joined Arif Ahmed, SVP of emerging payments and technological innovation at U.S. Bank, and Frank Villavicencio, CPO for access and identity at ADP, onstage at this year’s Money20/20 to discuss AI’s role and future in identity verification and customer experience. The panel was moderated by Dan Rosen, founder and general partner of Commerce Ventures.

socure, Data Breach, Fraud, Digital Identity

Can we secure online identities?

Posted by Socure on Oct 30, 2018

How can we secure identities online? In a brief video interview with Yale Insights, Socure’s Co-Founder and Chief Strategy Officer Sunhil Madhu discusses the current state of affairs when it comes to data breaches and fraud (spoiler alert: it’s safe to assume everyone’s data has been stolen several times over); the ways in which current tokenization efforts are not enough; and how social networks and connections are the wave of the future (and the present) when it comes to verifying and securing identity.

Identity verification, socure, Credit bureau, Millennials, Fraud, Identity theft

How to improve end-to-end customer life-cycle management through data science

Posted by Socure on Oct 2, 2018

In today’s digital world, identity verification is becoming increasingly important as the threat of identity fraud continues to grow. In 2017, there were more than 1,200 data breaches, with more than 2 billion separate identities stolen. Already in the first half of 2018, identity theft and synthetic identity attacks have more than doubled from Q4 of 2017. Traditional identity verification uses static rules and linear models applied to credit bureau data, which is often stale and easily accessible to fraudsters because, if we’re being honest, your birthday, Social Security number, and mother’s maiden name have already most likely been leaked in some previous data breach. So with these kinds of numbers, it’s clear that companies must rethink how best to originate user accounts online and develop new approaches for verifying their users. 

digital identity verification, Aida, Fraud Prevention

The problem with—and solution for—identity verification

Posted by Socure on Aug 27, 2018

When we think of robots, fictional characters like R2-D2, Optimus Prime, Hal, or Bender might come to mind. But, today’s robots aren’t cute sidekicks, superheroes, or destructive forces—and they’re certainly not fictional. Last month, Socure’s founder and chief strategy officer, Sunil Madhu, talked with PYMNTS.com’s CEO Karen Webster about how the current process for identity verification is broken. Madhu discussed how machine learning, on the other hand, can significantly advance identity verification and how Socure’s proprietary robot, Aida, is already making great strides in this regard.

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