Addressing False Positives in Sanctions and PEP Screening

Introduction

Sanctions and PEP screening is a mandatory component of KYC compliance for Canadian reporting entities. However, screening against global databases inevitably produces false positives — matches that appear significant but, upon review, do not involve your actual client. Handling false positives efficiently is critical: ignoring them creates compliance risk, but spending excessive time on each one creates operational bottlenecks.

Why False Positives Occur

1. Common names: Clients with names that are common in certain regions or cultures are more likely to trigger matches against large PEP and sanctions databases.

2. Partial name matches: Screening algorithms may flag partial or phonetic matches (e.g., “Mohammed Ali” matching multiple entries) to avoid missing genuine matches.

3. Data quality in source lists: Sanctions and PEP databases compiled from multiple international sources may contain duplicate entries, inconsistent transliterations, or outdated information that increases match frequency.

4. Broad family/associate coverage: PEP databases include family members and close associates, significantly expanding the pool of potential matches.

5. Lack of distinguishing data: When the screening is based only on name (without date of birth, nationality, or other identifying information), the match rate is inherently higher.

Step-by-Step Resolution Process

1. Review the match details: Compare the screening match against your client’s full profile — name, date of birth, nationality, address, and occupation. Many false positives can be dismissed at this stage because the match clearly refers to a different person.

2. Apply secondary identifiers: If the name matches but the date of birth, nationality, or country of residence does not, the match is very likely a false positive. Document your reasoning and dismiss the match.

3. Investigate ambiguous matches: For matches where the available data is not sufficient to clearly dismiss the match, conduct additional research. Check public sources, ask the client for additional information, and consult the original sanctions or PEP list entry for more context.

4. Document your determination: Whether you dismiss the match or confirm it, document the date of the screening, the database used, the match details, the additional information reviewed, and your conclusion. This documentation is essential for regulatory examinations.

5. Escalate confirmed matches: If the match is confirmed — the client is a PEP or appears on a sanctions list — escalate immediately to your compliance officer for enhanced due diligence or, in the case of a sanctions match, to determine whether the business relationship can proceed.

Best Practices for Reducing False Positives

1. Use screening tools that accept multiple identifiers: Screening against name + date of birth + nationality produces far fewer false positives than name-only screening.

2. Configure match sensitivity appropriately: Screening platforms typically allow you to set match thresholds. A threshold that is too low produces excessive false positives; one that is too high may miss genuine matches. Work with your provider to find the right balance.

3. Maintain a reviewed-match log: Keep a log of previously reviewed and dismissed false positives. When the same match appears during re-screening, you can reference your earlier determination rather than repeating the full review.

4. Train staff on match review: Ensure that the people reviewing screening matches understand how to evaluate them and what documentation is required.

How Athenty Can Help

Athenty, a verification intelligence company, provides Smart IDV and KYC services with intelligent screening that reduces false positive burden.

1. Multi-identifier screening: Smart KYC screens against name, date of birth, and nationality simultaneously, significantly reducing false positive rates.

2. Match confidence scoring: Each potential match is presented with a confidence score and contextual detail, enabling faster human review and more consistent determinations.

3. Ongoing re-screening: When databases are updated, Smart KYC re-screens your client book automatically and surfaces only new or changed matches — not previously dismissed false positives.

4. Audit-ready documentation: Every screening result — including dismissed false positives — is recorded with timestamps, match details, and review outcomes, providing the full screening history regulators expect.

Conclusion

False positives in sanctions and PEP screening are unavoidable, but they are manageable with the right tools and processes. A structured review workflow, multi-identifier screening, and thorough documentation ensure that false positives are resolved efficiently without creating compliance gaps. Athenty’s Smart KYC platform is designed to minimize false positive volume while maintaining the screening rigour that regulators require.