A false positive is a misidentified instance of potential document fraud. Detect has provided a signal that can’t be corroborated through investigation.
False positives can occur for many reasons which may depend on:
- How documents have been handled or saved
- If there are accidental or unintentional edits present
- Whether document formats are unrecognized or unusual
False positives are bound to occur on occasion and the presence of false positives will vary by lender. Ocrolus recognizes that these may be confusing and result in additional time spent on document review. Please report any instances to email@example.com which will help us continue to improve Detect and minimize the occurrence of false positives.
Assessing false positives
Lenders should review Detect signals and visualizations to verify document tampering. File tampering visualizations should allow for quick confirmation or rejection of signals. See Interpreting Detect Signals and Interpreting Visualizations for more information.
Lenders can also perform additional verification outside of Detect as they see fit and/or if that is part of their existing workflow or process.
Characteristics of false positives
If any of the below characteristics are present while investigating Detect’s visualizations this may be an indication of a false positive.
Lenders should feel comfortable dismissing the Detect signals after performing thorough verification. If there are any questions or uncertainties, feel free to reach out to firstname.lastname@example.org. Reported instances will help us continue to improve Detect.
Note: this list is not exhaustive and not intended to be used to make final determinations about how to proceed with borrowers and/or borrower documentation.
|Visualization Name||False positive triggers or characteristics|
|Received vs. recovered document||