The most accurate identity fraud solution in the industry, analyzing every dimension of consumer identity—name, email, phone, address, date of birth, SSN, IP, device, velocity, network and behavioral intelligence, and more—delivered in a single ML model. Start saying yes to the maximum number of good individuals while minimizing your fraud risk.Let us prove it. Schedule a test.
From account opening onward, Sigma Identity Fraud provides high-assurance trust and detects identity fraud across the digital customer lifecycle
Capture fraud in the riskiest 3% of applicants, on average85-90%
Improve fraud capture results over legacy solutions35-45%
Socure's approach to data science enables flexible, advanced ML model development on the largest identity graph and set of performance feedback data in the industry. The attack may be new to you, but it is highly likely that Socure has already seen and learned from the fraud attack elsewhere in the network.
Increase frictionless customer approval rates by30-60%
Reduce false positives by>13X
Socure delivers the most accurate ID fraud classification model in the industry. By driving down false positives caused by legacy solution providers, Socure is able to help you verify the largest number of good customers and substantially reduce manual review rates while also reducing fraud losses. No other solution provider in the market solves for both fraud and revenue production.
Legacy approaches suffer from compounding false positives as multiple vendors don't work together, complex vendor management, unnecessary latency, and redundant datasources that add no value. Socure’s holistic approach leverages a single ML model that's been trained to deliver from one API the most accurate identity fraud classification model in the industry. Socure maximizes approval rates with the least amount of fraud, lowest false positives, and one best-in-class partner to manage.
Reduce manual review and customer friction by>80%
Data sources power real-time identity verification and risk detection400+
By delivering the highest degree of classification accuracy in the industry, Socure delivers >80% manual review and friction reduction due to substantially more accurate decision making. When you're right more often, you can manual review less and your customers receive a better experience.
Increased top 5 bank’s card portfolio fraud prediction accuracy by >4x over existing solution.
Decreased leading Buy Now, Pay Later (BNPL) provider’s false positives by 25% while capturing 30% more fraud.
7of the top 10
credit card issuers
4of the top
"Integrating Socure’s technology has meaningfully increased our accuracy in identifying fraud, resulting in a reduction in customer friction while also preventing additional fraud. As Socure continues to innovate, we are excited to deepen our engagement as we stay on the leading edge of identity fraud prevention." Sarah Strauss Senior Vice President, Head of Fraud & Servicing Strategy, Capital One
"Deploying Socure’s technology has significantly increased our ability to accurately locate identity fraud while also enabling us to auto-accept more good applicants. Our manual account reviews have also decreased dramatically. The innovations delivered by Socure help us to stay ahead of fraud trends while continuing to provide an optimal experience for our customers." Mark Kassardjian Director of Customer Operations, Betterment
Socure ID+ email risk models predict the risk of an email and its correlation to an identity considering hundreds of data elements. Predictive factors include deliverability, age of the email, domain type, and alternative emails linked to an identity.
Socure ID+ phone risk models predict the risk of a phone number utilizing various risk intelligence and phone number attributes. Predictive factors include how often the phone number has been ported, length of subscriber tenure, and if the number is a VoIP.
Socure ID+ address risk models predict the risk of an address utilizing various risk intelligence and residency attributes. Predictive factors include deliverability, length of time at an address, property type, as well as links between an identity and alternative addresses.
Socure ID+ device risk predicts risk associated with a device using data attributes such as IP, geolocation, device type, and device software. Binding a known identity to a known good device enables verification at critical points in the customer lifecycle.