Intelligent sanctions screening

Surface genuine risk and reduce false positives with AI-driven name and transaction screening solutions

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The Sanctions Intelligence Shift

Explore how financial institutions can modernize sanctions screening, enhance detection, improve efficiency, and strengthen regulatory defensibility without disrupting core systems

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User interface showing subject details with personal information including name Fethi Al-Haddad Ben Hassen Ben Salem Fethi, category Retail, subject ID CUST-LIST-110, tax number, address 20 Salway Road London, email, phone, gender Male, birth date 21/04/1985, occupation Politician, and related subjects 5057, alongside a partial SWIFT message highlighting AL-RASHEED BANK and address 505 Al Masarif Street Baghdad IRAQ.

Transaction Screening

Screen, sort and prioritize matches in real-time with far greater accuracy, enabling instant payments and faster, AI-powered investigations.

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Detailed watch record information for entity ID 233 from the EU list 2019 version, showing Al Rashid Bank in Baghdad, Iraq. Includes multiple names for the bank, address details like Al Masarif and Haifa Streets, PO Box 7177, subject type E, legal reference 2119/2003 (OJ L318), a link to the legal document, programme IRQ, and registration date of 2003-12-03.

Name Screening

Blend flexible list integration with advanced AI to surface genuine risk, reduce false positives and power real-time onboarding.

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Table listing alert identifiers, best matches, and detection checks, showing multiple rows with alert IDs mostly linked to 'CU' and detection checks such as 'receiver_iso_Flagged' and 'Flagged_Country_iso'. An inset bar chart titled 'Detection check' displays several detection categories like '50_EU_na', '52_EU_na', and various 'Flagged_Country' entries with horizontal bars indicating detection levels.

Significantly increase match accuracy

Customize powerful matching algorithms to your exact needs and maximize detection accuracy for any list type, situation or geography.

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A data table showing search results with columns for Excluded, Score, Raised On Value, Watchlist Entry ID, Detailed, and IET Score. Several rows list the subject name Boris B Rotenberg with scores of 94% and 98%. The watchlist section shows IDs 2909980, 16671, and 1805081 with corresponding detailed links and IET scores of 162, 95, and 159.

Control false positives

Remove the burden of endless false positives and prioritize the greatest risk with AI-powered post-processing and enhanced investigator workflows.

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Screenshot of a batch processing interface showing 'Batch Details' for WLM_MT103.txt dated 2023/12/15 14:34:10 with status 'Ended', 80 records, and 55 alerted records. Below, a table lists two batches: WLM_MT103.txt with 80 records and 55 alerts, and WLM_MT202.txt with 80 records and 52 alerts.

Limitlessly scale

Engineered to rapidly handle extreme volumes of data, our screening solutions effortlessly scale to match the needs of even the largest financial institutions.

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AI Overlay for Screening

Not ready to replace your screening solution?

If you’re looking for an AI upgrade without replacing your existing screening setup, SymphonyAI’s AI Overlay for Screening has you covered.

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Included as standard in our Name Screening and Transaction Screening solutions, the AI Overlay combines predictive and generative AI to boost screening accuracy and reduce false positives by 80%.

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