Image Alert List
Image Alert List detects repeated headshots across transactions in real time, helping you identify and prevent fraud attempts where the same face is reused across multiple identities with different PII such as names, dates of birth, or addresses.
By identifying these biometric reuse patterns, Image Alert List adds an additional layer of fraud prevention that complements standard verification checks. When triggered, the module returns specific reason codes that you can incorporate into automated decisioning logic or manual review workflows.
Availability
Image Alert List is available exclusively in the Document Verification – Premier tier.
| Predictive DocV product | Image Alert List included |
|---|---|
| Document Verification – Premier | Yes |
| Document Verification – Standard, Plus | No |
| Selfie Reverification | No |
| Secondary Document Capture | No |
| Selfie Intelligence | No |
Key features
- Real-time detection — Identifies repeated headshots across transactions to block fraud attempts before they succeed.
- Biometric reuse prevention — Detects cases where the same face image is paired with different PII to create synthetic or stolen identities.
- Built-in integration — Delivered as part of the Document Verification – Premier tier, with alerts and reason codes available through evaluation responses.
- Actionable reason codes — Generates clear, interpretable reason codes to support automated routing and risk review.
Common use cases
- Synthetic identity fraud — Detect when the same face is used to create multiple identities with varying PII.
- Account takeover attempts — Identify repeated faces used to impersonate legitimate users with new or modified account information.
- High-volume fraud rings — Stop organized fraud attempts where the same headshot is submitted across numerous applications.
Benefits
- Provides proactive protection against high-scale fraud attempts.
- Improves detection accuracy by combining biometric and PII analysis.
- Supports regulatory and compliance requirements with strong fraud defenses.
- Returns clear reason codes for use in automated decisioning or manual review.