Amid the growing threat of digital payment fraud, fake mobile applications, and organised online scam networks, tech giant Apple has revealed that it prevented more than $2.2 billion (approximately ₹18,000 crore) in potentially fraudulent transactions on its App Store platform during 2025. The company said the action was made possible through a combination of AI-driven security systems, machine learning tools, and large-scale human moderation efforts.
Strengthened App Review and Developer Enforcement
In a statement released on Thursday, Apple said it has significantly intensified its crackdown on financial fraud, fake developer accounts, and malicious applications operating through the App Store ecosystem. According to the company, its fraud prevention infrastructure has blocked more than $11.2 billion in suspicious transactions over the past six years.
The company further disclosed that it rejected more than two million app submissions in 2025 alone for violating App Store privacy and security guidelines. These included applications that attempted to imitate legitimate apps, hide malicious features, manipulate users after approval, or conduct financial scams through deceptive methods.
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Fake Accounts and Coordinated Scam Networks Disrupted
Apple also said it blocked nearly 1.1 billion attempts to create fake user accounts during the year. In addition, thousands of suspicious developer accounts linked to fraudulent downloads, fake reviews, payment manipulation, and coordinated scam operations were either removed or banned from the platform.
Rising Threats and Calls for Greater Oversight
Cybersecurity experts believe that the rapid growth of digital payments and in-app financial transactions has made mobile app ecosystems a prime target for cybercriminals worldwide. Fake investment apps, gaming scams, fraudulent loan applications, and phishing-based mobile software are increasingly being used to target unsuspecting users across multiple countries.
According to a cyber expert associated with Future Crime Research Foundation, cybercriminals are now leveraging AI-generated interfaces and cloned applications that make it extremely difficult for ordinary users to differentiate between genuine and fraudulent apps. Experts say this has increased the importance of behavioural analytics, app-store-level monitoring, and real-time fraud detection systems.
Apple stated that its security mechanisms are not limited to app reviews alone. The company said its systems continuously monitor payment activities, developer behaviour, download patterns, and suspicious engagement signals across the platform. Machine learning models are reportedly used to detect abnormal transaction activity, sudden spikes in downloads, and coordinated fake engagement patterns before financial fraud can spread widely.
In recent years, regulatory scrutiny around digital platforms has intensified globally. Governments and regulators in several countries have increasingly demanded greater transparency and accountability from large technology companies regarding app ecosystem safety, user privacy, and financial fraud prevention. India has also witnessed rising concerns over fake loan apps, investment scams, data theft, and malware-based mobile frauds, prompting calls for stronger app-store moderation policies.
Experts warn that while platform-level security systems play a critical role, user awareness remains equally important in preventing cyber fraud. Downloading applications from unknown developers, clicking suspicious payment links, or granting excessive permissions to mobile apps can expose users to serious financial and privacy risks. Cybersecurity agencies continue to advise users to install applications only from trusted sources and immediately report any suspicious digital activity.
