# How does Unit21 help reduce false positives?

<p class="elv-tracking-normal elv-text-default elv-font-figtree elv-text-base elv-leading-base elv-font-normal" elv="true"><strong>How does Unit21 help reduce false positives?</strong></p>

##### Post Metadata
- Posted at: 2 months ago
- Net upvotes: 1


## Comments
### Comment 1

False positives are one of the biggest operational challenges for fraud and AML teams. Unit21 helps address this by combining flexible detection logic with richer investigation context. 

Risk teams can configure targeted monitoring rules that reflect their specific customer behavior and product usage patterns. Instead of relying solely on static thresholds, teams can refine detection strategies over time based on real investigation outcomes. 

AI agents also assist analysts by prioritizing alerts and organizing investigation signals so that the most relevant cases are reviewed first. This helps teams focus their attention on higher-risk activity while reducing time spent on low-value alerts. 

By combining configurable monitoring with AI-assisted investigation workflows, Unit21 enables organizations to improve detection accuracy while lowering operational burden.


##### Comment Metadata
- Posted at: about 1 month ago
- Author title: AI Risk Infrastructure




## Related Product
[Unit21](https://www.g2.com/products/unit21/reviews)

## Related Category
[Anti-Money Laundering (AML)](https://www.g2.com/categories/anti-money-laundering)

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