Email Risk
Add Socure Email Risk to your workflow for risk prediction and identity correlation based on email intelligence.
What is Email Risk?
Email Risk evaluates an email address to predict the likelihood of fraud and measure its correlation to an identity.
It leverages hundreds of data elements, including deliverability, domain type, account age, and linked alternative addresses, to assess both risk and trust.
| Enrichment | Input fields | Signals returned | Coverage | Best for |
|---|---|---|---|---|
| Email Risk | Lightweight – Requires only email.Accuracy improves when optional PII (e.g., name, address) is included. |
| Global |
|
What you can do with Email Risk
- Detect fraud – Identify risky or fraudulent email addresses before they are used in onboarding, login, or transactions.
- Improve account security – Reduce account takeover attempts by checking email risk during OTP and authentication flows.
- Protect profile updates – Validate new email addresses in real time during account changes.
- Enable progressive onboarding – Establish trust with minimal PII by using email-based correlation and risk scores.
- Balance risk strategy – Use multiple risk models in parallel to tune thresholds for fraud detection or approvals.
Unique Features
Multiple risk scores in one call
Run challenger and production models simultaneously to test performance, migrate seamlessly, or configure approval thresholds by model.
Flexible use cases
Apply Email Risk across the customer journey, from onboarding to authentication to ongoing profile updates.
Correlation intelligence
Measure how strongly an email is tied to an individual’s name to help verify ownership and legitimacy.
Granular transparency
Reason codes explain the factors behind both the email risk score and correlation values.
Lightweight input requirements
Only an email address is required, but accuracy improves with optional PII such as name and address.
Updated 2 days ago

