Apple might soon turn the iPhone into its own theft detector. A new anti-snatching feature is reportedly in development that automatically locks the device when it senses someone has grabbed it from a user’s hand.
According to 9to5Mac, the system can recognise sudden motion patterns linked to “snatch-and-run” thefts. The iPhone’s accelerometer can detect abrupt movement consistent with a forceful grab and trigger an automatic lock before a thief has time to access the device. On paper, it’s a straightforward idea. The goal is to reduce the window during which a stolen iPhone remains vulnerable while still unlocked after it is taken.
What makes the feature more nuanced is the way Apple appears to be layering safeguards on top of it. Rather than relying purely on motion detection, the system can cross-check context signals before it acts. Those signals include whether the iPhone connects to a familiar Wi-Fi network or sits in a known place, such as home or work. If those conditions are met, the system may avoid unnecessarily locking the phone.
There’s also reported integration with Apple Watch proximity data, adding another layer of confirmation that the device is still near its owner before it assumes a theft scenario. This mirrors Apple’s broader approach in Stolen Device Protection. In that feature, the system restricts sensitive actions when the phone moves away from trusted environments.
The feature would sit alongside existing anti-theft tools like Find My, Activation Lock, and Stolen Device Protection. However, it targets a specific weakness in the system: what happens in the moments immediately after a phone is grabbed while still unlocked. Even with delays in major account changes, that short window can still be enough to cause damage.
Apple is also reportedly using similar ideas to Android’s Theft Detection Lock, which already applies motion-based signals to detect suspicious handling of a device. The key difference appears to be how heavily Apple is leaning on “familiar environment” checks to reduce false triggers.
There’s currently no timeline for release, and the feature is still in development. However, its direction is clear: less reliance on user reaction, more on the device deciding when something doesn’t look right.
