AppleBetween 2020 and 2023 App StoreHe announced the measures he took against fraud attempts in . The Cupertino-based technology giant emphasized the steps it has taken to protect its users from fraud and phishing attacks as digital threats increase. During this period the company
App StoreIt stated that it has prevented fraud worth a total of $7 billion (approximately Rs 58,440 crore) in . It also blocked more than 14 million stolen credit cards and stopped 3.3 million accounts from making repeat transactions.
Appleannounced these efforts with a press release. Company, “As digital threats have evolved in scope and complexity over the years, Apple has expanded its anti-fraud initiatives to respond to these challenges and protect its users. “Every day, teams across Apple monitor and investigate fraudulent activity on the App Store, using sophisticated tools and technologies to identify malicious actors and strengthen the App Store ecosystem.” said.
Public Order Berkemal, Apple prevented $1.8 billion fraud
The company said it prevented $1.8 billion (about Rs 15,030 crore) worth of fraud in 2023 and rejected more than 1.7 million app applications that did not meet privacy, security and content standards. It also closed approximately 374 million developer and customer accounts and removed approximately 152 million ratings and comments due to fraud concerns.
Applehas also taken steps to prevent harmful activities that may occur at the customer account level. By highlighting bot accounts created to send spam or manipulate reviews on the App Store, it prevented the creation of more than 153 fake accounts and disabled 374 million accounts.
The company provides information about the application review process and evaluates every application worldwide. App
StoreHe stated that he had a review team of 500 people who evaluated it before it was published. This team reviews approximately 132,500 applications per week and evaluated approximately 6.9 million applications last year. The review team performs a variety of checks and combines automated processes and human review to detect potentially harmful and fraudulent apps.
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