For any fraud detection scheme (or any binary classification scheme, really) there’s a tradeoff between false positives and false negatives. The Radar 2.0 updates—particularly Radar for Fraud Teams—will help here in a few ways:
- With Radar for Fraud Teams, you can customize the threshold at which Radar blocks charges—so if false positives are very costly for your business (because you have large margins, e.g.), you can tune Radar to reflect that,
- Radar 2.0’s custom machine-learning models (for businesses that have enough data with Stripe) should adapt to the unique circumstances/patterns/trends of your business, and
- Radar 2.0’s ML overall has substantially improved performance, which you should see after you’ve upgraded.
- With Radar for Fraud Teams, you can customize the threshold at which Radar blocks charges—so if false positives are very costly for your business (because you have large margins, e.g.), you can tune Radar to reflect that,
- Radar 2.0’s custom machine-learning models (for businesses that have enough data with Stripe) should adapt to the unique circumstances/patterns/trends of your business, and
- Radar 2.0’s ML overall has substantially improved performance, which you should see after you’ve upgraded.