Enhance match accuracy

Increase match precision with intelligent detection models and easily configure to keep your risk strategy agile.

Launch Simulation window with fields for Data sources set to 'Subject' and Data Source Transformer set to 'Generic Separated Values Transform'. A report overlay titled 'Simulated Run A: 1050' shows start and end times on 27/04/2023, processing group name WLMSimulationGroup, datasource Subject, number of records 5,665, alert counts for watch list 124 and alerted records 76, total detections 166, model name WLMSim, created by System User, and an expandable 'Detection Check' section. Buttons for Cancel and Process are at the bottom of the main window.

Alert Management interface showing details: Alert ID WSB231215000000047405, Model Name Default, Status New, Assigned To Nina Finch, Assigned By Mari Richards, Type Sanctions & PEP, Organization Unit Europe, Due Date 19/06/2024, Score 90%, Created On 17/11/2023, Last Updated On 15/12/2023 by System User, Opened For 208, IET Entity Score 0, IET Alert Score 95. A Match Data box highlights text referencing AL-RASHEED BANK 505 Al Masarif Street Baghdad, Iraq.

Weighted optimal string alignment

Match common typos rather than treating all spelling differences equally, enabling greatly improved overall match accuracy.

A software interface titled Default Algorithms showing a table with columns Algorithm Name, Algorithm Type, Distance Function, and Copy. The list includes concatenated free text match algorithms with thresholds from 70% to 95% and concatenated name match algorithms from 70% to 85%, all using the Bitap distance function. A pop-up window labeled Algorithm Parameters for Concatenated Free Text Match >= 70% displays parameters with names, values, and descriptions, such as extraWordPenalty 0.05, extraWordPenaltyCompatibility true, firstLetterMismatchPenalty 0, highlighting true, infixPenalty (x-1)/4, joinedWordPenalty 0.1;0.16;0.20, and maxConcatenatedWordPenalty x/2.

Weighted words

Down-weight common words like ‘limited’ and ‘holding’ with advanced fuzzy matching, proven to significantly increase match accuracy.

Synonyms

Improve match accuracy with name variations and alternatives for common names and company forms in different languages. E.g. Alexandra vs. Sasha.

A software interface screen showing a Related Subjects tab with a list of five individuals, their IDs, names, CDD risk labeled Standard, and columns for Compare Details, No. Cases, No. Accounts, Deposit Account Balance, Loan Account Balance, Previously Reported status, and Active Alerts. A zoomed-in inset shows detection checks per match listing subject name checks against OFAC list, HM Treasury, EU list, HM Treasury with year of birth, and Delta Subject Name against DJ Applicable.

Check logic

Configure checks by combining different criteria to determine if a match should be made, enabling all data fields to be leveraged for more efficient screening.

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AI Overlay for Screening

Take your screening to the next level

Combining predictive and generative AI, the AI Overlay for Screening boosts screening accuracy with context-aware matching algorithms that reduce false positives by 80%

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Discover more features and functionality of Sanctions Screening

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Solution benefits

Improve detection accuracy

Identify sanctioned entities, PEPs and high-risk individuals and rapidly screen, detect and track beneficial owners and their linkages in real-time.

Accelerate investigations

Maximize investigator efficiency by automatically enriching and prioritizing the most high-risk alerts while significantly reducing false positives.

Enhance customer experience

Intelligent matching and AI-driven analytics goes beyond pure name matches to ensure real-time onboarding and instant payment processing are not hindered by unnecessary friction points.

Scalable compliance

Comply with global watchlist enforcement regulations, respond to regulatory changes in real-time, and easily configure to suit your requirements.