Real-time fraud

The pain

Fraud is detected after the loss, and static rules generate false positives that block good sales. Adjusting the threshold just moves the problem from one side to the other.

The cost of not acting

Every fraud that gets through is a direct loss; every good customer blocked is a sale that walks away and a relationship that’s damaged. With static rules, lowering one curve raises the other.

The solution

Online risk scoring on Amazon SageMaker / Bedrock with features in DynamoDB, with decisions in milliseconds integrated into checkout and human review of the gray zone.

Architecture, in general: checkout event → features in DynamoDB → scoring with SageMaker/Bedrock → decision in milliseconds → approval, block or routing to human review of the gray zone.

The result

Expected outcome (indicative, validated with your data before you decide):

• Less fraud loss.
• Fewer good sales blocked: both curves at once.
• Decisions integrated into checkout, without slowing the purchase.