Glossary term
Detection Confidence Score
Definition
A detection confidence score is a numeric output expressing how strongly analyzed media exhibits characteristics of AI generation or manipulation. Rather than a binary real/fake verdict, the score quantifies evidence strength, allowing consumers of the score to choose their own decision thresholds per use case.
Why it matters for financial institutions
Binary verdicts force one risk tolerance onto every workflow; scores let institutions tune each one. A high-value wire authorization can escalate at modest suspicion while routine balance inquiries tolerate more ambiguity — managing the perpetual trade-off between fraud catch rate and customer friction. Scores also give model risk management something auditable: documented thresholds, measurable false-positive rates, defensible decisions.
How FalsiFind addresses it
FalsiFind returns calibrated confidence scores with every analysis and supports tenant-specific thresholds per workflow and transaction type. Each score ships inside a signed evidence bundle documenting methodology and timestamp, so threshold decisions stand up in disputes and regulatory examinations.