In iOS, for example, you can take advantage of the Apple Neural Engine and custom CreateML models to process the data right on the device, helping you avoid lengthy and potentially risky …

Using differential privacy, we are able to successfully identify an up-to-date set of websites for which most users prefer auto-play with sound worldwide, such as streaming services including …

Peer group benchmark values are only used to provide you with relevant comparisons that help you improve your apps. When creating peer group values, we use a technique called differential …

At Apple, we believe that privacy is a fundamental human right. Learn about our four pillars of privacy, how we brought these principles...

Peer group benchmark values are calculated using a technique called differential privacy, which is the gold standard for ensuring that aggregated data remains both helpful and private. Metrics …

Tools such as on-device machine learning, Core ML, and Apple’s differential privacy frameworks allow teams to deliver adaptive app behavior without transferring sensitive data off the device.

Learn about changes to the iOS & iPadOS SDK. Overview Release notes provide details on API changes, known issues, fixes, workarounds, and deprecations for recent software releases. Bug …

Fixed: For apps linked on or after iOS 17 and aligned OS versions, App Transport Security now requires secure connections to external IP addresses by default. For more information on these …

Framework HealthKit Access and share health and fitness data while maintaining the user’s privacy and control. iOS 8.0+ iPadOS 8.0+ Mac Catalyst 17.0+ macOS 14.0+ visionOS 1.0+ …

Privacy is a more important issue than ever for your users. Learn about new features and privacy engineering techniques that can help you...