App Store fraud prevention a big numbers game powered by AI & human review
Artificial intelligence has helped Apple's human-based App Store Review process prevent over $2.2 billion in fraudulent transactions in 2025. It also rejected more harmful apps than ever before. The App Store is seeing more submissions all the time. Malicious app submissions are also increasing in number. Policing the App Store for malware is a task for the App Store Review team, which is getting tougher over time thanks to AI-assisted app development . However, artificial intelligence is also helping Apple combat harmful versions of apps. In a review of the 2025 submissions, Apple claims it had prevented over $2.2 billion in potentially fraudulent transactions. This brings the total over the last six years to more than $11.2 billion. Continue Reading on AppleInsider | Discuss on our Forums
What happened?
Artificial intelligence has helped Apple's human-based App Store Review process prevent over $2.2 billion in fraudulent transactions in 2025. It also rejected more harmful apps than ever before. The App Store is seeing more submissions all the time. Malicious app submissions are also increasing in number. Policing the App Store for malware is a task for the App Store Review team, which is getting tougher over time thanks to AI-assisted app development . However, artificial intelligence is also helping Apple combat harmful versions of apps. In a review of the 2025 submissions, Apple claims it had prevented over $2.2 billion in potentially fraudulent transactions. This brings the total over the last six years to more than $11.2 billion. Continue Reading on AppleInsider | Discuss on our Forums
Story details
Artificial intelligence has helped Apple's human-based App Store Review process prevent over $2.2 billion in fraudulent transactions in 2025.
It also rejected more harmful apps than ever before.
The App Store is seeing more submissions all the time.
Why it matters
This page keeps Apple rumors separate from official updates, so readers can follow early reports without confusing them with confirmed announcements.