A financial organization implements a new AI-based fraud detection system to flag suspicious transactions. A security analyst discovers that it occasionally blocks legitimate transactions. Which of…

The correct answer is A. Retaining the model with more data and recent transaction patterns. False positives occur when the AI model lacks sufficient or representative training data. Retraining the model with more diverse and recent transaction patterns improves accuracy, reducing the chance of legitimate transactions being incorrectly flagged.

Security Architecture and Tool Sets

Question

A financial organization implements a new AI-based fraud detection system to flag suspicious transactions. A security analyst discovers that it occasionally blocks legitimate transactions. Which of the following is the best recommendation?

Options

ARetaining the model with more data and recent transaction patterns
BImplementing AI token usage and rate limits
CEncrypting all the data processed by AI and applying further access controls
DRolling back the model and using a traditional fraud detection system

How the community answered

(42 responses)

A
83% (35)
B
2% (1)
C
10% (4)
D
5% (2)

Explanation

False positives occur when the AI model lacks sufficient or representative training data. Retraining the model with more diverse and recent transaction patterns improves accuracy, reducing the chance of legitimate transactions being incorrectly flagged.

Topics

#fraud detection#model retraining#false positives#AI optimization

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