Amid the rapid development of generative neural networks and the widespread proliferation of deepfakes, the issue of digital trust has become one of the key priorities for tech giants. In the fifth beta version of the operating system iOS 27, which is currently under active development, researchers discovered code for a new feature named Apple Reference Image. This technology aims to become a powerful tool in the fight against visual content falsification, allowing users to verify the authenticity of photos taken on an iPhone.
How the authenticity verification mechanism works
The essence of the new function lies in the automatic recording of metadata regarding the origin of the shot directly at the moment of its creation. According to data obtained from 9to5Mac, the system will embed a digital signature that guarantees the image was created by the device's camera and has not undergone generative processing by artificial intelligence. This allows users to subsequently prove the authenticity of the material, which is critically important in an era where visual evidence no longer guarantees the truth.
It is important to note that the function will not run in the background for all shots. Developers have provided a special mode in the camera settings that the user will have to activate manually by selecting the Reference option. This means that metadata for identification will be embedded only in those photos taken using this specific mode. Existing images in the user's gallery will not be retroactively marked.
Competition with the C2PA standard
The principle of operation of Apple Reference Image largely resembles the C2PA (Coalition for Content Provenance and Authenticity) standard, which industry giants such as Canon, Nikon, Sony, Fujifilm, and Leica have already begun to implement. Furthermore, support for this technology has already appeared in Google Pixel 10 smartphones. However, Apple, traditionally avoiding the use of third-party standards in its ecosystems, has decided to go its own way by creating its own solution.
Experts believe that Apple's proprietary development could become an alternative to the C2PA standard, which, despite widespread support, is not always considered absolutely reliable. Its own system for marking original materials created by humans will allow Apple to simplify the content verification process within its ecosystem, ensuring a higher level of trust in materials created on the company's devices.
Contradictory data
At present, there are discrepancies in information regarding the availability and implementation timeline of the function. On the one hand, the function's code has already been found in iOS 27 beta versions, confirming the fact of development. On the other hand, sources indicate that the function is currently unavailable even for testers in current builds. It remains unclear whether this function will be available immediately after the release of the final version of iOS 27 or will require an additional update. Furthermore, it is currently unclear exactly how this function will interact with social networks and messengers, which often compress images and remove metadata upon upload.
Significance in the fight against fakes
Previously, Instagram head Adam Mosseri noted that verifying the origin of such publications might be easier than detecting and marking increasingly sophisticated and high-quality content generated by artificial intelligence. The implementation of Apple Reference Image could become a turning point in this fight, shifting the focus from detecting fakes to guaranteeing authenticity. This is particularly relevant in 2026, when image generation technologies have reached a level where distinguishing them from reality with the naked eye is practically impossible.
