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Overview
SEON assesses risk from digital footprint — what an email address, phone number, and IP reveal about an identity — combined with device fingerprinting. The company was founded in Budapest in 2017.
It covers real-time scoring, custom rules through a no-code editor, device intelligence, and an AML screening module covering sanctions and PEP lists. Because scoring relies on the presence of an online footprint, signal is weaker for users who legitimately have little online history.
Common use cases
- Check whether an email or phone number belongs to a real person
- Fingerprint devices to catch repeat fraudsters
- Write custom risk rules without a deploy
- Screen customers for AML during onboarding
Key Features
- Digital footprint analysis from email, phone, and IP
- Device fingerprinting and browser intelligence
- Configurable rules with a no-code editor
- AML screening and monitoring module
- Real-time scoring API
- Free tier for early-stage evaluation
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