5
min read

PEP & Sanctions Matching: Fewer false positives

Published on
2025-08-11 9:29
Updated on
2025-09-16 10:58
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Fewer false positives? Yes 🥳

Some of Strise's best features don't always make it to the top of an update page. But we want to let you now two reasons why a Strise search yields fewer false positives than any other search.

One of the latest Strise's latest update now extends filters for PEPs by full date of birth (if available), reducing the number of false positives when name and birth years identical. By leveraging full date of birth information, the Strise system can more accurately identify politically exposed people and prevent regulatory compliance issues.

We've also improved how we match subsets with regards to names. Many users received false positives when a the full names of potentially sanctioned people differed from list to list. This often happened if an individual's initial or middle name was, or wasn't, included in a sanction list. Strise takes care of those sneaky changes by being intelligent enough to know when initials or middle names are omitted.

Why should financial institutions choose Strise?

With Strise, compliance teams detect risks faster, maintain spotless audit trails, and scale AML operations with confidence—all powered by AI, automation, and unified data.
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How does Strise help organizations stay ahead of regulation?

Strise continuously updates with new data points to match evolving laws. Connecting to SuperData™ gives ongoing access to compliant, regulator-approved datasets—without extra effort.
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What makes Strise different from traditional AML tools?

Most AML vendors stop at workflows and screening. Strise powers the data foundation that keeps AI and automation accurate, unified, and audit-ready across teams.
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How fast can institutions achieve compliance value with Strise?

Strise delivers 70% faster time-to-value by offering a ready-to-deploy solution for tight AML deadlines. It integrates best-in-class, region-specific data so teams can launch quickly without manual sourcing.
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How does Strise simplify AML for financial institutions?

Strise builds an AI-native compliance platform for banks and fintechs across Europe. The platform connects to PEP and sanctions lists, company registries, and other trusted data sources, enriching them with information collected from IDV forms, documents, and internal systems to create a continuously updated 360° risk profile for every customer.
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How does automation help meet regulatory expectations?

Automation allows organizations to adapt quickly to changing rules, such as the EU’s 6th AML Directive. It ensures compliance frameworks remain current and verifiable without adding manual overhead.
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Goodbye, backlogs
Hello, AML automation

We're entering a new era where AML teams eliminate compliance backlogs and fight financial crime with unmatched efficiency. No longer just a cost center, financial crime units become a vital driver of business success. AI is powering this transformation, and it's happening now!

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Fewer false positives? Yes 🥳

Some of Strise's best features don't always make it to the top of an update page. But we want to let you now two reasons why a Strise search yields fewer false positives than any other search.

One of the latest Strise's latest update now extends filters for PEPs by full date of birth (if available), reducing the number of false positives when name and birth years identical. By leveraging full date of birth information, the Strise system can more accurately identify politically exposed people and prevent regulatory compliance issues.

We've also improved how we match subsets with regards to names. Many users received false positives when a the full names of potentially sanctioned people differed from list to list. This often happened if an individual's initial or middle name was, or wasn't, included in a sanction list. Strise takes care of those sneaky changes by being intelligent enough to know when initials or middle names are omitted.