Predict Device Risk to Control Fraud
Stop more fraud while avoiding friction with device intelligence from Socure Sigma Device, the only solution to bind a device to an identity and embed natively across Socure’s identity verification and fraud platform solutions.
REQUEST A DEMOAvoid Friction While Combating Fraud and Account Takeover
Customers using mobile devices expect a one-click experience. Starting at account opening and throughout the customer lifecycle, consumers transact using their mobile devices. However, malicious actors use proxy/VPN servers, virtual infrastructure, and mobile emulators to conduct their nefarious activity. The challenge? Deflecting fraud while enabling a seamless user experience.
Sigma Device Answers Key Questions
Delivering safety and countering fraud requires verifying a consumer’s identity and assessing risk at touchpoints such as account opening, account maintenance, and online transactions. Socure Sigma Device is a powerful fraud prevention solution that binds the device to an identity from account opening onwards, using device intelligence as a risk identifier while also providing a seamless user experience for legitimate, good customers.
Enable Trust Throughout the Account Lifecycle
Account Registration
Establishes trust and deflects fraud at account creation
Digital Goods Delivery
Protects against attacks when fraudsters plan to receive stolen goods instantly
Account Authentication
Maintains trust and mitigates fraud when sending one-time passcodes to a device
Marketplace Account Verification
Maintains integrity of ecosystem
Account Updates
Provides assurance and mitigates fraud when sending one-time passcodes to mobile devices
Device Data Informing Risk Decisions
Enriches document verification and other decisions with device data
Login Validation
Establishes trust and deflects fraud at account login
Continuous Validation
Delivers dynamic risk analysis via ongoing device behavior
Funds Transfer
Maintains trust and mitigates fraud when sending or receiving funds
Sigma Device Technology Highlights
Highly Predictive Device Intelligence
Correlates device data to identity
- The first application fraud solution that “binds” device to the individual using the device - you’ll always know it’s your customer that is logging in or changing their password
- Combines device data with identity information—name, email address, phone number, IP address, and other details—provided during account opening delivering a one-stop fraud prevention solution
- Verifies good people even as their device characteristics, browsers, IP addresses change
Flexible Deployment
Stand-alone or suite deployment
- Socure ID+ Suite allows mix-and-match of a product portfolio that includes Sigma Identity Fraud, Sigma Synthetic Fraud, Sigma Device, as well as Email, Phone, and Address Risk Scores
- Device informs identity decisions within a holistic model
- Verify a 360-degree view of your customers’ identities
Rapid Integration
Supports all major platforms
- Front-end deployment can be completed in just one to two hours
- Utilize the same API call you use for other Socure ID+ products to obtain Device Risk results patterns
Related Fraud Products
Sigma Identity Fraud
Analyzes every dimension of consumer identity device, name, email, phone, address, date of birth, SSN, IP, velocity, network and behavioral intelligence, and more—delivered in a single ML model.
Sigma Synthetic Fraud
Tackles targeted fake, randomized and synthetic fraud patterns using data analysis and an ML model trained on consortium data from Socure's extensive portfolio of customers.
Email RiskScore
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.
Phone RiskScore
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.
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