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Risk Signals
for Device, Email, Phone, Address

  • Sigma Device predicts risk associated with a device and its correlation to an identity.
  • Email RiskScore predicts the risk of an email and its correlation to an identity.
  • Phone RiskScore predicts the risk of a phone number and its correlation to an identity.
  • Address RiskScore predicts the risk of an address and its correlation to an identity.

From account opening onwards, multi-dimensional risk signals inform ML-driven decisioning to auto-approve more good customers and eliminate fraudsters in real-time.

Let us prove it. Schedule a demo now.

The Next Generation of Risk Signals are Predictive.

From start to finish, multi-dimensional predictive signals inform ML-driven decisioning to identify more good customers and eliminate fraudsters in real-time.


Accurate

View of Identity

Bring in more good customers while deflecting fraud

  • Understand the likelihood that the device, email, phone number, or physical address is associated with fraud
  • Recognize whether the email address is fake
  • Identify fictitious or non-fixed VoIP phone numbers
  • Understand the likelihood that the device, email, phone number, or physical address is associated with the user

Flexible

Deployment Options

Evaluate single elements of PII when a broader request is not necessary.

  • Evaluate single elements of PII
  • Create custom rules to streamline workflows
  • All product modules are available through a single API

Comprehensive

Population Coverage

Unlock new markets and verify new customers

  • Thin-file & Credit Invisible
  • Gen Z & Millennial Demographics
  • New-to-country
  • Mainstream

INCREMENTAL +$75M Annual Revenue

Increased a top online gaming operator's auto-acceptance by over 7%, generating millions of new customers.

INCREMENTAL +$55M ANNUAL REVENUE

Increased a top-tier online brokerage's auto-acceptance by over 10%, generating millions of new customers.