The Most Accurate
Identity Fraud
Detection Solution
Sigma Identity Fraud analyzes 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.
REQUEST A DEMOIdentity Fraud Detection Starts Here
From account opening onward, Sigma Identity Fraud provides high-assurance trust and detects identity fraud across the digital customer lifecycle.
Account Opening
Profile Changes
Account Recovery
High-Value Transactions
Reduce Fraud Losses
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 Auto-Approvals
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.
Streamline Your Risk Program
Socure’s holistic approach uses a single ML model delivered from a single API to deliver the most accurate identity fraud classification in the industry.
Reduce False Positives
By delivering the highest degree of classification accuracy in the industry, Socure delivers >80% manual review and friction reduction through more accurate decision-making. When you're right more often, you can manually review less and your customers enjoy a better experience.
Sigma Identity Fraud ROI
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.
1,000+ Top Enterprises Trust Socure
4
of the top 5 banks
250+
of the largest fintechs
7
of the top 10 credit card issuers
3
of the top MSBs
Integrating Socure’s technology has meaningfully increased our accuracy in identifying fraud, resulting in a reduction in customer friction while also preventing additional fraud.”
SARAH STRAUSS, SVP, HEAD OF FRAUD & SERVICING STRATEGY, CAPITAL ONE
Deploying Socure’s technology has significantly increased our ability to accurately pinpoint identity theft 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 OPERATIONS, BETTERMENT
Technology Highlights
Device Intelligence
- The first application fraud solution that 'binds' device to the individual using the device
- Device informs identity decisions within a holistic model
- Device information informs all Socure solutions
- Fast to deploy across all major platforms
Velocity
- Utilizing the Socure ID graph of 750+ customers and >600 million rows of data, Sigma Identity Fraud distinguishes emails, phone numbers, addresses, SSNs, devices, and other elements used for multiple fraudulent account openings and subsequent account use
- The first application fraud solution that analyzes identity behavior across industries and consumer lifecycle to improve results
Data Linkages
- Analyzes real-time dynamic linkages across 8 billion rows of transaction data to inform model
- Clustering linkages enable improved identification of fraud and fraud rings
Consortium Data
- Trained with feedback data from the industry’s leading consortium of clients, Sigma delivers better fraud models and improves your fraud program
- As the consortium gets larger, Socure gets smarter using feedback data from the expanding network of trusting firms to continually improve results to counter evolving fraud patterns
Related Fraud Products
Email RiskScore
Predict the risk of an email and its correlation to an identity considering hundreds of data elements.
Phone RiskScore
Predict the risk of a phone number utilizing various risk intelligence and phone number attributes.
Address RiskScore
Predict the risk of an address utilizing various risk intelligence and residency attributes.
Sigma Device
Predict the risk associated with a device while binding a known identity to a known good device.
