Meta, the company responsible for Facebook and Instagram, has begun testing a new facial recognition technology .
This solution was developed to improve account security and prevent online fraud by utilizing selfie verification . With a focus on protecting account profiles, the goal is to minimize the misuse of profile photos and ensure a quick and effective recovery in cases of hacking.
The adoption of this feature reflects the growing demand for more robust digital security measures .
The facial recognition introduced by Meta works quite simply and effectively. The chinese overseas africa database moment an account displays suspicious activity, the user is prompted to perform a selfie verification.
The technology, using advanced artificial intelligence, compares the captured photo with the images associated with the account profile.
This solution is a direct response to the increase in hacking and fraud attempts on social networks, especially related to fake ads and account hijacking.
Furthermore, this technology can work in conjunction with other security methods, such as codes sent via email, increasing protection.
Verification via profile photos and videos helps identify unauthorized login attempts and block them immediately. This means users can feel more secure knowing there’s an additional layer of protection beyond traditional passwords .
Privacy and facial recognition technology
With the implementation of any technology involving biometric data, the issue of privacy is one of the main points of discussion.
The use of profile pictures for facial verification raises concerns about the storage and use of this data.
Meta is committed to ensuring that the facial data used is treated securely, without sharing with third parties and with the option of complete deletion at any time.
The company also stated that this technology will only be used for the specific purposes of account security and recovery.
Additionally, users will have full control over the use of their facial data, with the ability to opt in or out of facial verification for their accounts. This transparency is essential to increasing trust in facial recognition technology .