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Configuring Monitoring Worklists

Fine-tune sanctions and adverse media screening by configuring worklists based on profile type, risk level, and your risk sensitivity

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Written by TJ Sangam
Updated over 6 months ago

1. What’s New with Acuris V3

SILO’s integration with Acuris V3 allows precise monitoring configuration per profile type:

  • Create custom worklists for Individuals, Entities, and Trusts

  • Tune match thresholds and modes to reduce false positives

  • Target screening by risk score, profile data quality, or other criteria

All licensees with screening enabled should review and update their configuration.


2. Default Worklist Settings (New Licensees)

Profile Type

Threshold

Frequency

Matching Mode

Individual

85

Daily

Fuzzy

Entity

85

Daily

Fuzzy

Trust

85

Daily

Fuzzy

These defaults are a starting point. Adjust based on your data quality and risk model.


3. Worklist Setting Options Explained

Setting

Description

Name

Assign a clear label (e.g., "Individual – High Risk")

Type

Select profile type: Individual, Entity, or Trust

Threshold

Set match score from 1–100 (higher = stricter)

Matching Mode

Choose Fuzzy for flexibility or Strict for exact matching

Frequency

Recommended: Daily screening

DOB Required

Only returns matches with a DOB (Individuals only). Not recommended.

DOB Match Mode

Optionally allow match within ±1–5 years

Country Required

Only includes profiles with a country tag (does not compare countries)

Datasets

Select relevant Acuris datasets (see below)


4. Acuris Datasets Explained

PEP Datasets

  • PEP – All PEPs

  • PEP-CURRENT – Active PEPs only

  • PEP-FORMER – Former PEPs

  • PEP-LINKED – Associates of PEPs

Sanctions Datasets

  • SAN – All sanctions

  • SAN-CURRENT – Currently sanctioned

  • SAN-FORMER – Previously sanctioned

Other Risk Datasets

  • RRE – Reputational Risk

  • DD – Disqualified Directors

  • POI – Profiles of Interest

  • REL – Regulatory Enforcement

  • SOE – State-Owned Enterprises

  • INS – Insolvency (UK/Ireland only; can generate many false positives)

Remove irrelevant datasets (e.g., INS) to reduce screening noise.


5. Example: Worklist for Verified Low-Risk Individuals

Setting

Value

Name

Individual – Verified

Type

Individual

Threshold

92

Matching Mode

Strict

Frequency

Daily

DOB Required

No

Country Required

No

Datasets

PEP, SAN, RRE

Best for profiles sourced via eID or verified intake methods.


6. Configuration Tips & Governance Requirements

Best Practices

  • Separate worklists by profile type

  • Use stricter settings for verified data

  • Use fuzzy matching where name inconsistency is common

Governance Reminder

  • Worklist changes must be reviewed and approved internally

  • SILO Support requires written sign-off from a Director or Senior Manager for any config changes


7. Support & Optimization

Need help optimizing worklist accuracy?

  • Request sample hit reports

  • Get assistance tuning thresholds and dataset combinations

  • SILO can support bulk configuration requests

Contact: [email protected]

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