Streamlining email fraud and account takeover prevention

Streamlining email fraud and account takeover prevention

Email address fraud enables 46% of account takeover incidents. Socure's Email RiskScore assesses email risk using consortium data gathered across our vast customer network. Predictive factors like deliverability, host legitimacy, email age, and bot detection enable rank-ordering emails by riskiness. The result? – Socure has been proven to give a +10% absolute lift in coverage over a top email age based vendor.

Key questions 

Key questions

To build customer trust, businesses must verify email ownership and evaluate email risk during account opening, profile updates, and high-risk transactions. Socure's Email RiskScores leverages machine learning models and feedback loops to analyze over 56 email fraud predictors, assessing risk throughout the customer lifecycle.

Enable trust throughout the account lifecycle

progressive onboarding

Progressive onboarding

Enables an onboarding flow with incremental step-up verification, based on the consumer riskiness

Peer to peer actions

Peer to peer actions

Measures the risk of a receiving account's credentials to avoid authorized push payment fraud

OTPs

One-time passcode

Maintains trust and mitigates identity fraud when sending one-time passcodes via email

Non monetary profile changes

Non-monetary profile changes

Passively checks email risk prior to implementing profile changes

Marketplace account creation

Marketplace account creation

Maintains integrity of gig and sharing economy ecosystems

High value actions

High value actions

Validates a consumer’s email address prior to commencing a high-value transaction

Email RiskScore technology highlights

Enhanced identity fraud prevention

Enhanced identity fraud prevention

  • Track usage trends over days and months with advanced email domain analysis to detect coordinated identity fraud attacks, such as email tumbling
  • Identify synthetic identities generated with nonsensical email addresses, using innovative gibberish email handle detection
  • Improve accuracy in classifying filler/disposable emails often used by fraudsters with refined machine learning

Frictionless and highly predictive solution 

Frictionless and highly predictive solution

  • Analyze over 56 email-specific features like unusual string patterns, domain mismatches, and handle vs. name mismatches
  • Gain a highly predictive numerical risk score between 0 (low risk) to 1 (high risk), indicating the riskiness of the email address
  • Estimate strength of ownership for a specific email with a value between 0 (weak) to 1 (strong), indicating the correlation between the presented name and the email address

Flexible deployment

Flexible deployment

  • Integrate seamlessly with Socure's full suite of identity verification and fraud prevention solutions
  • Power your identity fraud program with compatible products like Sigma Identity Fraud, Sigma Synthetic Fraud, and the Digital Intelligence suite
  • Create customized decision workflows across multiple use cases like account opening, payments, and account changes

continious improvement

Continuous improvement

  • Socure’s cross-industry consortium feedback data continuously enhances email risk models
  • Preemptive detection capabilities lower ongoing identity fraud expenses

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