Decisioning & AI
What is data enrichment?
The process of augmenting raw transaction or customer data with additional context from internal and external sources to improve the accuracy of risk decisions. In fraud prevention, data enrichment may include appending device intelligence, email reputation, phone number verification, IP geolocation, social media presence, and behavioral signals to a base transaction record.
How it works
Example: When a new account is opened, the platform enriches the applicant’s email address by checking its age, domain reputation, and association with known fraud rings, adding these signals to the risk model’s input features.

Ver Oscilar en acción.
Fraude
Recursos
©2025 Oscilar. Todos los derechos reservados.
AI Risk Decisioning™ and Oscilar™ are trademarks of Oscilar, Inc.

Ver Oscilar en acción.
Fraude
Recursos
©2025 Oscilar. Todos los derechos reservados.
AI Risk Decisioning™ and Oscilar™ are trademarks of Oscilar, Inc.

Ver Oscilar en acción.
Fraude
Recursos
©2025 Oscilar. Todos los derechos reservados.
AI Risk Decisioning™ and Oscilar™ are trademarks of Oscilar, Inc.

Ver Oscilar en acción.
Fraude
Recursos
©2025 Oscilar. Todos los derechos reservados.
AI Risk Decisioning™ and Oscilar™ are trademarks of Oscilar, Inc.

Ver Oscilar en acción.
Fraude
Recursos
©2025 Oscilar. Todos los derechos reservados.
AI Risk Decisioning™ and Oscilar™ are trademarks of Oscilar, Inc.

