What you'll see
When a screening returns matches, BNDRY shows a list of results sorted by score — the closest match first. Each result shows the matched name and score in the header, with datasets indicating which watchlists or categories the record appears on (for example, PEP, Sanctions, Adverse Media, Regulatory Enforcement). A single record can carry multiple datasets.
Expand a result to see the full detail.
Match score
A number from 0 to 100 showing how closely the match data aligns with what was submitted for your customer. BNDRY only shows results that meet or exceed the screening threshold configured for your tenant (the default is 70). The score appears in the header of each result alongside the matched name.
Use the score as a signal, not a decision. A score of 100 on a common name with no date of birth match is a weaker result than a score of 85 on a distinctive name with matching date of birth and nationality.
Tip: A high score narrows the field — it doesn't confirm the match. Always read the source detail before drawing a conclusion.
Datasets
Tags on each result showing which datasets the matched record appears in. Common datasets include:
| Dataset | What it means |
|---|---|
| PEP | The record appears on a Politically Exposed Persons list. May be current, former, or a linked associate depending on the sub-category. |
| Sanctions | The record appears on a sanctions list such as the DFAT Consolidated List, OFAC SDN, or UN Sanctions. |
| Adverse Media / RRE | The record has associated news reporting or reputational risk exposure from public sources. |
| Regulatory Enforcement | The record has been listed in regulatory enforcement actions — compliance failures, court findings, or similar matters. |
Source details
The underlying record from the matched dataset: full name, aliases, date of birth, nationality, positions held (for PEPs), reason listed (for Sanctions), addresses, business and individual links, and source URLs where available.
How to investigate a result
- Check identifying details first. Compare the match's date of birth and country to your customer's. If they don't align, this is a false positive — move to step 4.
- If identifiers do align, read the source detail. What is the person listed for? Are there clear differences — a different middle name, a different profession, a different country — that rule it out?
- Document your reasoning. Add a Note to the entity explaining what you found and how you reached your conclusion. Be specific: this is your audit trail.
- Update the customer record. Confirm the match or mark it as a false positive using the controls on the screening result. This applies the appropriate tag to the entity profile.
What to do for confirmed matches
How you respond to a confirmed match is determined by your AML/CTF programme, not by BNDRY. The guidance below describes what each match type typically requires you to consider — your programme defines the specific obligations, thresholds, and escalation paths that apply to your organisation.
Sanctions match — your programme will define your obligations when a sanctions match is confirmed. Document your findings and refer to your programme for the required response.
PEP match — your programme will define what level of due diligence is required and the thresholds for acceptance or escalation. Document your findings accordingly.
Adverse media / Regulatory Enforcement — your programme will define how to assess the relevance and materiality of adverse findings. Document your assessment and refer to your programme for any required next steps.
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