Screen Smarter.
Move Faster.
Stay Compliant.

Use proprietary fraud signals to block risky users before AML checks and automate global customer screening and ongoing monitoring — all in real time, through a single API.

Batch Screening Delays Detection

Legacy AML screening uses batch-based checks that delay detection and client onboarding. Manual reviews, exports and bottlenecks stall investigations and slow reporting. SEON automates AML screening, surfacing fraud signals before KYC to block bad actors earlier, so you can focus on real risk.

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Pre-Screen Bad Actors Before KYC

Block users onboarding with risky IP locations, limited online presence and suspicious device setups before they enter your KYC funnel.

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Screen Customers in Real Time

Check individuals and entities against global sanctions, crime lists, watchlists, PEPs, RCAs & adverse media sourced directly from authorities.

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Create Rules Logic Your Way

Set detection rules with unmatched precision by user, segment, behavior, geography or any custom data point — giving you nuanced screening and control with ultimate flexibility.

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Customize & Automate Monitoring

Choose what, when and how often to monitor. Fine-tune screening by adjusting fuzzy logic, FATF crime categories and data sources to align with compliance priorities.

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Take a Tour of Our Real-Time Solution

See How Our Customers Stop Money Laundering

YSI logo – SEON customer using customizable AML risk monitoring

“It is a robust analytics and risk management system that offers customizable options for setting relevance thresholds and reducing false positives. This system seems particularly useful for compliance purposes, allowing the team to monitor customer behavior, background, and appearances on lists for various reasons.”

Monika Zaja

Fraud Manager, YSI

Patrianna logo – SEON customer using automated AML tools

“It is a flexible tool that helps us track possible money laundering activity with features that are highly customizable and help a lot with automation. The high number of sources that the feature has allowed analysts to consider their decisions from different perspectives. This allows the relevant teams to further their knowledge of the customers and for the company to stay compliant.”

Márton Hajagos

Fraud Analyst, Patrianna

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Case Management

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Transaction Monitoring

Analyze millions of transaction patterns in real-time using AI so you can identify and deter risk and fraud earlier.

Digital Footprint Analysis

Using email, phone, and IP data collected during onboarding, SEON crafts a highly detailed digital footprint of each user so you can detect fraudsters before KYC.

Customer Screening FAQs

Can I create custom rules for screening based on behavior or geography?

Absolutely. SEON lets you define custom rules and alert triggers using any combination of behavior, geography, user segments and data attributes, giving you precise control over how and when screening is triggered.

How often can SEON re-screen customers for compliance updates?

You decide the cadence. SEON supports fully customizable re-screening intervals, including daily, weekly, monthly, quarterly, twice a year or yearly. You can also trigger re-screening based on events, like profile changes or new data becoming available.

Can I adjust fuzzy matching thresholds in SEON’s screening engine?

Yes. SEON gives you full control over fuzzy matching sensitivity, enabling you to adjust search preferences, including edit distance, phonetic thresholds, language-specific filtering, date of birth filtering, and adverse media. You can fine-tune thresholds to reduce false positives while still catching close or transliterated matches, helping analysts focus on meaningful alerts.

Is SEON’s screening API easy to integrate into existing workflows?

Yes. SEON uses the same single API as its fraud prevention tools, giving you access to AML screening, transaction monitoring, and case management in one integration. All solutions are natively connected, so you can quickly launch real-time screening and ongoing monitoring without stitching together separate systems or disrupting existing workflows.