Image Alert List

Learn how Image Alert List enhances Predictive DocV (DocV) Premier by flagging repeated headshots across transactions.

Predictive DocV Image Alert List

Image Alert List detects repeated headshots across transactions in real time, helping organizations identify and prevent sophisticated fraud attempts where the same face and matching selfie are reused across multiple identities with different PII (e.g., names, dates of birth, or addresses).

By identifying these biometric reuse patterns, Image Alert List adds a powerful additional layer of fraud prevention that goes beyond standard verification checks. When triggered, the module returns specific reason codes that can be incorporated into automated decisioning logic or manual review workflows.


Image Alert List availability across Predictive DocV products

The table below shows which DocV products include the Image Alert List module.

Predictive DocV ProductImage Alert List Included?
Document Verification – PremierYes (included)
Document Verification – Standard, PlusNo
Selfie ReverificationNo
Secondary Document CaptureNo
Selfie IntelligenceNo

Key features

  • Real-time detection: Instantly identifies repeated headshots across transactions to block fraud attempts before they succeed.

  • Sophisticated fraud prevention: Stops cases where fraudsters reuse the same face image paired with different PII to create synthetic or stolen identities.

  • Seamless integration: Delivered as part of the Document Verification – Premier tier, with alerts and reason codes available through evaluation responses.

  • Actionable Insights: Generates clear, interpretable reason codes to support automated routing and risk review.


Reason codes

Below is a placeholder table for reason codes associated with Image Alert List. You can expand and populate this table with the specific codes used in your implementation.

Reason CodeDescription
I859Image validated against past headshots
I860Facial correlation was not calculated
R859ID front correlates with another submitted ID front

Common use cases

  • Synthetic identity fraud: Detecting when fraudsters attempt to create multiple synthetic identities with the same face but varying PII.

  • Account takeover attempts: Identifying repeated faces being used to impersonate legitimate users with new or modified account information.

  • High-volume fraud rings: Stopping organized fraud attempts where the same headshot is used to submit numerous fraudulent applications.


Benefits

  • Provides proactive protection against sophisticated, high-scale fraud attempts.
  • Improves detection accuracy by combining biometric and PII analysis.
  • Supports regulatory and compliance requirements by maintaining strong fraud defenses.
  • Returns clear signals and reason codes that can be used in automated decisioning or manual review.