A recommendation engine can provide improved guidance by utilizing several KPI’s and associated risk scores. This engine would leverage insights gathered from:
- Overall AA implementation data sources
- Product performance in terms of data losses
- Customer performance in terms of fraud losses
- Customer product engagement and feedback
- Customer activity in the RSA anti-fraud community network (EFN, Link)
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