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Home/CyberSecurity News/Apple iPhone’s New Anti-Snatching Auto Apple’s Feature
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Apple iPhone’s New Anti-Snatching Auto Apple’s Feature

Apple is reportedly developing a new iPhone security feature designed to automatically lock the device the moment it detects a theft-in-progress. This significant upgrade to the company’s existing...

Sarah simpson
Sarah simpson
May 27, 2026 2 Min Read
2 0

Apple is reportedly developing a new iPhone security feature designed to automatically lock the device the moment it detects a theft-in-progress. This significant upgrade to the company’s existing anti-theft protections could close one of the most dangerous gaps in mobile security today.

Discovered by 9to5Mac developers who dug through Apple’s source code, the feature is currently under active development and mirrors Android’s existing Theft Detection Lock.

Once triggered, it will automatically lock an iPhone the instant the system confirms it has been snatched, cutting off a thief’s access before they can exploit an unlocked screen.

The detection system relies on multiple signals working together:

  • Accelerometer data to identify sudden, sharp movement patterns consistent with a snatch
  • Apple Watch proximity to measure whether the device has moved abnormally far from a paired wearable
  • Familiar Wi-Fi networks to determine if the iPhone is near a trusted connection
  • Known locations, such as home or workplace, apply the same geofencing logic used in Stolen Device Protection

If the system detects that the iPhone has been taken to an unfamiliar location by an unfamiliar actor, it will lock the device and apply the same access restrictions currently enforced by Stolen Device Protection, blocking changes to Apple ID credentials, passwords, and other sensitive settings.

Apple’s current anti-theft toolkit includes Stolen Device Protection and Find My, both of which are valuable — but only after a theft has occurred.

Stolen Device Protection introduces time-based security delays that prevent major Apple ID changes, yet a thief who grabs an unlocked iPhone still has a critical window to wreak havoc: sending messages, accessing banking apps, making purchases, or harvesting saved credentials before the device is remotely wiped.

This new feature targets that precise window. By locking the device at the moment of theft, Apple eliminates the attacker’s opportunity entirely, rather than trying to limit damage after the fact.

Google introduced Theft Detection Lock with Android 10, using AI and motion sensors to identify theft-like movement and lock the device automatically.

Apple’s implementation appears functionally similar but integrates additional signals, particularly Apple Watch pairing distance, which could make it more accurate and reduce false positives in high-motion scenarios like jogging or cycling.

The combination of accelerometer analysis, wearable proximity, network familiarity, and location context gives Apple’s version a multi-layered detection model that may outperform single-signal approaches.

Apple has not officially confirmed the feature or announced a release timeline. However, the presence of active code in development suggests it could surface in a future iOS update, potentially alongside other security enhancements. Given the rising prevalence of opportunistic phone snatching in urban environments globally, the demand for this feature is clear.

Users looking to maximize protection in the meantime can enable Stolen Device Protection via Settings > Face ID & Passcode > Stolen Device Protection and ensure Find My iPhone is active.

Disclaimer: HackersRadar reports on cybersecurity threats and incidents for informational and awareness purposes only. We do not engage in hacking activities, data exfiltration, or the hosting or distribution of stolen or leaked information. All content is based on publicly available sources.

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Sarah simpson

Sarah simpson

Sarah is a cybersecurity journalist specializing in threat intelligence and malware analysis. With over 8 years of experience covering APT groups, zero-day exploits, and advanced persistent threats, Sarah brings deep technical expertise to breaking cybersecurity news. Previously, she worked as a security researcher at leading threat intelligence firms, where she analyzed malware samples and tracked cybercriminal operations. Sarah holds a Master's degree in Computer Science with a focus on cybersecurity and is a regular contributor to major security conferences.

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