Data Ingestion
All biometric data, typically in the form of facial images, is ingested into the system. Each image is processed to extract unique biometric features, which are then tokenized using our IT2 technology.
Deduplication & Greylist Checks
DEDUPLICATION & GREYLIST CHECKS
Catch Repeat Fraud with Trust Stamp
Are you struggling with repeat fraudsters slipping through? A significant portion of fraud is carried out by repeat offenders who bypass traditional KYC checks. Despite changing their identities, their faces remain the same. With Trust Stamp, leverage our biometric tokens to prevent bad actors from getting through, thereby enhancing your account opening security. Fortify your defenses with our biometric-based identity verification solutions.
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Why Trust Stamp
Why Trust Stamp for Deduplication & Greylist Checks
Prevent duplicate identities
Go beyond standard KYC processes by identifying faces registered under different names, improving fraud prevention at account opening.
Detect repeat attackers and synthetic identities
Flag and stop identities previously linked to fraud or non-payment by using tokenized biometric searches during onboarding, ensuring that no biometric measurements are stored while still enable face matching.
Ensure compliance
Satisfy your compliance teams with an identity verification system tailored to meet GDPR, CPRA, PIPEDA, and other privacy regulations.
Set your own adjudication thresholds
Customize how potential matches are handled with options for manual review or automated scoring for account opening fraud prevention.
Benefits
Intercept Fraudsters Before They Act
Tokenization and IT2 Generation
Each biometric feature set is converted into an IT2 (Irreversibly Transformed Identity Token). This ensures that the data is non-reversible and secure, protecting user privacy throughout the deduplication process.
1:N and N:N Matching
The system performs both 1:N and N:N matching, where each token is compared against every other token in the dataset. This comprehensive comparison identifies instances where the same individual may have been enrolled multiple times under different identifiers.
Clustering and Association
Once potential duplicates are identified, the system clusters these tokens together, associating them with a single biometric identifier. This ensures that each unique individual in the dataset is represented by one identifier, preventing multiple entries for the same person.
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Eliminate Repeat Fraud. Protect Your Platform.
Don’t let repeat bad actors evade detection. Take control of your identity verification process today. Contact Trust Stamp to learn how our Deduplication and Greylist checks can enhance your fraud prevention strategy and safeguard your business.Get in touch now
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