Apple will authenticate iPhone photos to combat deepfakes
The new feature in iOS 27 will allow verifying that an image was captured with an iPhone camera, a key step against visual disinformation.
August 13, 2026 · 4 min read
TL;DR: Apple is working on a feature to authenticate photos taken with iPhone, according to clues in iOS 27 beta 5. It would use cryptography to verify origin and detect manipulation, a key step against deepfakes. Not yet officially confirmed.
Apple is working on a system to authenticate that a photograph was taken with an iPhone camera. The news, revealed by 9to5Mac, is based on references found in the fifth beta of iOS 27. Although Apple has not officially confirmed the feature, the clues suggest that the company seeks to offer a solution to one of the most pressing problems of the digital age: the manipulation of images through artificial intelligence.
What has happened?
According to 9to5Mac, references to a new feature designed to authenticate the source of a photo have been found in the code of iOS 27 beta 5. This would imply that images captured with an iPhone camera would carry a mark or digital signature certifying their origin. This mark could be verified by third parties, such as social media platforms or news outlets, to confirm that the image has not been altered and that it comes directly from the device.
The feature is part of Apple's efforts to strengthen the privacy and security of its users, but it also responds to a growing social demand for tools to combat deepfakes and visual disinformation.
Why is it important?
The proliferation of deepfakes has generated a crisis of trust in visual content. Anyone with access to AI tools can create fake videos or images that look real, which has serious implications for politics, journalism, and private life. According to a report by security firm DeepTrace Labs, the number of deepfakes online doubled every six months between 2018 and 2020, and the trend has only accelerated.
In this context, origin authentication becomes a crucial tool. If users can verify that a photo was taken with an iPhone without manipulation, a standard of trust is established. Apple, with its closed ecosystem and focus on privacy, is in a unique position to lead this initiative. Other companies, such as Adobe with its Content Authenticity Initiative (CAI), have already explored similar systems, but Apple could bring this technology to a massive scale thanks to the popularity of the iPhone.
How would it work?
Although technical details have not been revealed, it is likely that Apple will use a combination of hardware and software. The security chip in iPhones, such as the Secure Enclave, could generate a unique cryptographic signature for each image at the moment of capture. This signature would be attached to the photo's metadata and could be verified by any service that receives it.
This approach would be more robust than traditional watermarks, which can be removed or altered. Cryptography ensures that any modification of the image would break the signature, making manipulation evident. Furthermore, being integrated into hardware, authentication would be transparent to the user, who would not need to take any additional action.
What consequences will it have?
If Apple implements this feature, it could have a significant impact on several fronts:
- For news media: Journalists could verify the authenticity of images received from anonymous sources or eyewitnesses, reducing the risk of spreading manipulated content.
- For social media platforms: They could integrate authentication verification to label images as verified or unverified, helping users make informed decisions.
- For users: It would increase trust in the images they share and receive, and could even serve as evidence in legal disputes.
- For deepfake creators: It would make it harder to create convincing fakes from iPhone photos, although it would not prevent manipulation of images captured with other devices.
However, there are also challenges. The feature could be criticized for creating a false sense of security, since not all fake images come from iPhones. Additionally, it could create a gap between iPhone users and users of other devices, who would not have access to this verification.
Context and comparisons
Apple is not the first to explore this path. Adobe launched the Content Authenticity Initiative in 2019, in collaboration with Twitter and The New York Times, to develop open standards for content attribution. More recently, in 2023, the C2PA coalition (Coalition for Content Provenance and Authenticity) presented a technical specification for tracking the origin and history of digital content. Apple, however, could implement a more closed and user-friendly solution, leveraging its control over hardware and software.
In the past, Apple has taken similar measures to protect privacy, such as the 'Sign in with Apple' feature, which limits data sharing with third parties. Photo authentication would be another step in that direction, reinforcing the Apple brand as a defender of security and trust.
What should readers know?
For now, it is important to note that this feature is not officially confirmed. The references in the beta could be part of an internal development that never comes to fruition, or that undergoes significant changes before its release. Users should wait for Apple to make an official announcement at the next WWDC or at the iOS 27 presentation.
Furthermore, although photo authentication is a positive advancement, it is not a definitive solution against deepfakes. Experts recommend combining this technology with other measures, such as media literacy and human verification, to effectively combat disinformation.
Origin authentication is a powerful tool, but it should not be the only line of defense against visual manipulation.
In summary, Apple is taking an important step toward verifying the authenticity of images, a pressing need in the era of generative AI. If confirmed, this feature could set a new industry standard and offer users greater confidence in the visual content they consume and share.