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Fraud Detection Triage
Being aware of the threat posed by fraudulent transactions and ensuring an organization is well-equipped to review accounts flagged by fraud detection systems are not the same thing.
Adeptra's Decision Engine clears false positives, considers multiple detection sources, automatically resolves cases and provides feedback for tuning detection systems.
Contacting consumers and determining if accounts have genuinely been compromised is imperative in fraud detection. How frustrating must it be then, when the fraud and risk managers know that over 50 percent of the accounts reviewed by their staff could be cleared simply by verifying data points without actually disturbing consumers?
Another major problem encountered by fraud and risk teams occurs when accounts are poorly prioritized, only considering information generated by a single detection source. This can result in consumer accounts blocked unnecessarily, while highly skilled professionals are burdened with triage tasks rather than being fully focused on more complex, high-risk accounts.
Adeptra's Decision Engine considers multiple disparate detection sources and a wide array of consumer data to prioritize accounts more effectively, based on overall risk. With a comprehensive view of a consumer, their overall risk and past behavior, Decision Engine automatically clears many of the false positives generated by today’s standard fraud detection models. The result is less inconvenience to consumers and more effective fraud teams. As new patterns emerge, whether indicative of true fraud or another type of false positive, the decision logic can be fine tuned to continually improve risk mitigation strategies.
Adeptra's Decision Engine:
- Identifies fraud twice as fast while avoiding unnecessary contact
- Eliminates false positives, reducing unnecessary plus connects and inbound call traffic
- Reduces staffing needs by more than 50 percent
- Improves the consumer experience by eliminating unnecessary blocks
Adeptra identifies fraud threats through multiple detection sources and brings the potential fraudulent activity to resolution.
