Address Risk
Add Address Risk to your workflow to validate deliverability, detect fraudulent addresses, and strengthen identity correlation globally.
What is Address Risk?
Address Risk predicts the fraud likelihood of a physical address and its correlation to an identity using deliverability, tenure, and property type intelligence.
It supports a wide range of use cases including onboarding, logins, profile updates, checkouts, and delivery validation. By analyzing internal and external data, Address Risk detects risky addresses (e.g., undeliverable, correctional facilities, commercial drop points) and links them to consumer identity confidence.
| Enrichment | Input fields | Signals returned | Coverage | Best for |
|---|---|---|---|---|
| Address Risk | Structured – Requires name + address (line 1 + country). Accuracy improves with optional fields (e.g., city, state, postal code). |
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U.S. only |
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What you can do with Address Risk
- Validate address deliverability and legitimacy
- Detect fraud patterns (e.g., correctional facilities, mail drops, invalid addresses)
- Reduce false positives with correlation scoring between name and address
- Prevent delivery fraud and account takeover through risky address flagging
- Strengthen compliance and trust by ensuring accurate residency information
Unique features
Multi-model support Run champion and challenger models in parallel for continuous fraud coverage optimization.
Name–address correlation
Link consumer identity to address with scores from 0.01–0.99 for confidence-based routing.
Granular risk insights Reason codes identify risky conditions like undeliverable addresses, commercial mail drops, or mismatched name/address.
Flexible global schema Supports ISO 3166-1 and ISO 3166-2 standards for country and region codes.
Best practice tuning Thresholds (e.g., ≥0.97 = high risk) can be configured per channel, use case, or geography.
Updated 2 months ago