It’s not only a corporate goal or a marketing point anymore. It’s now a significant initiative over Apple distinguishing its products from Android and Windows competition.
Apple has placed itself as the most privacy-sensitive big technology company after Apple CEO Tim Cook wrote an open letter on the topic in 2014. After that, Apple launched new iPhone features that limit app access to personal data and massively advertise privacy in television ads.
However, Monday’s reports reveal that Apple’s privacy strategy is now part of its products. Privacy is a part of almost every new feature and got stage time of its own.
Privacy-focused features and apps published by Apple on Monday for forthcoming operating systems iOS 15 or macOS Monterey added:
No tracking pixels. The Mail app will now operate images through proxy servers to block tracking pixels that tell email marketers when and where messages were opened.
Private Relay. Subscribers to Apple’s iCloud storage service will receive a feature named iCloud+, which includes Private Relay. This service protects user IP addresses, which are to infer location. An Apple representative stated it’s not a virtual private network. Hence, privacy-sensitive people often use a variety of services to enter web content in areas where it’s restricted. Alternatively, Apple will pass web traffic through an Apple server and a proxy server run by a third party to remove identifying information.
Hide My Email. iCloud subscribers will generate and use temporary, anonymous email addresses, sometimes termed burner addresses, inside the Mail app.
App Privacy Report. Inside the iPhone settings, Apple will inform you which servers apps connect to. It will bring light on apps that collect data and send it to third parties the user doesn’t acknowledge. It will also tell users how frequently the apps use the microphone and camera.
Leveraging Apple’s Chip Chops
With its focus on privacy, Apple is tending on one of its core strengths. Local devices frequently process the data, like a computer or phone, rather than going back to big servers to analyze. This is more secure because the data doesn’t live on a server, possibly faster from an engineering standpoint.