Socure Unveils Sigma Synthetic Fraud, a New Way to Identify and Combat Synthetic Identity Fraud

Socure Unveils Sigma Synthetic Fraud, a New Way to Identify and Combat Synthetic Identity Fraud
Businesses using Socure’s Sigma Synthetic Fraud solution achieve auto-capture rates over 90% on synthetic identity fraud in the riskiest 3% of users, for both new and existing accounts
Launch debuts on the first day of Money20/20’s MoneyFest Event

Socure, the leader in Day Zero digital identity verification, announced the launch of Sigma Synthetic Fraud, its latest addition to the Socure ID+ platform to address the complex and rapidly growing problem of synthetic identity fraud. Synthetic ID fraud, which involves fictitious, created identities that have been cultivated over months and even years, represents the next wave of complex fraud and financial theft online.

As early as 2016, synthetic ID fraud accounted for 20% of total credit losses for U.S. lenders. Socure’s Sigma Synthetic Fraud offering – now available via a single API within Socure’s ID+ product suite – achieves auto-capture of over 90% of synthetic ID fraud in just the riskiest 3% of users, for both new users and scrubbing existing customer portfolios.

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“As the volume of online applications for accounts and credit has grown exponentially, so has the opportunity for synthetic ID fraudsters who prey on the fact that this is a victimless crime and is extremely difficult to detect using conventional, 3rd party fraud detection methods,” said Johnny Ayers, Founder & Chief Product Officer of Socure. “Tackling this growing problem requires a highly sophisticated machine-learning platform that is easy to deploy, easy to manage, and a team that is maniacally focused in eradicating identity fraud from the internet.”

To deliver Sigma Synthetic Fraud, Socure invested heavily in feature engineering and data source analysis, and used both supervised and unsupervised machine learning models to derive a common definition of synthetic identity fraud across many of its largest banks, lenders and issuers. Socure leveraged this definition to develop classification models that have proven effective in combating this elusive type of fraud. Sigma Synthetic has achieved AUCs up to 97.44% with auto-capture rates as high as 91% in the top 3% of riskiest users. Customers of Sigma Synthetic receive the benefit of leveraging insights from Socure’s multi-industry customer network as well as feedback file data sets, which continuously enhance the synthetic ID fraud engine, resulting in the most accurate and performant solution on the market.

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Socure offers Sigma Synthetic Fraud both standalone and as part of the integrated ID+ platform alongside Sigma Identity Fraud, KYC Compliance, DocV, and more. This new module effectively manages synthetic fraud risk without degrading customer experience, slowing down growth, or turning a blind eye to potentially risky, sleeper accounts in a company’s current portfolio of customers. When applied at account enrollment or to an existing customer portfolio, Sigma Synthetic quickly assesses the risk of synthetic ID fraud and provides a decision in a fraction of a second. Sigma Synthetic and all Socure products are accessible via one single API that powers the entire Socure ID+ platform.

Ayers concluded, “Our clients must address synthetic ID fraud for a number of reasons, but most importantly to avoid the typically severe monetary losses from unpaid balances often in the tens of thousands of dollars per incident.”

Sigma Synthetic Fraud use cases and verticals include credit cards, lending applications, telecommunications, healthcare, insurance, eCommerce and marketplaces, government benefits, and real estate.

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MTS Staff Writer

MarTech Series (MTS) is a business publication dedicated to helping marketers get more from marketing technology through in-depth journalism, expert author blogs and research reports.

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