Meta's Face Scanning Technology: A New Weapon Against Account Hacking and Scams

Tuesday, 22 October 2024, 09:19

Meta's face scanning technology is back to combat scams and secure accounts. Facebook and Instagram are implementing advanced facial recognition tools to help users restore compromised profiles and avoid fake celebrity-endorsed scams. With promising results, this initiative aims to protect both public figures and users from fraud, enhancing their safety on social platforms.
Theverge
Meta's Face Scanning Technology: A New Weapon Against Account Hacking and Scams

Meta's Innovative Approach to Account Security

Meta announced its renewed commitment to user safety by introducing face scanning technology aimed at combating scams and account hacking. Facebook and Instagram are currently in the testing phase of these advanced facial recognition tools, designed to help users swiftly restore compromised accounts.

How It Works

The technology will compare a user’s facial scans against their profile pictures to verify identity. If an ad featuring a public figure is flagged as potentially scam-driven, facial recognition algorithms will be employed to detect and block fraudulent ads. Meta aims to tackle celeb-bait content that misleads users into visiting scam websites impersonating celebrities.

Supporting Celebrities and Users Alike

  • Initial tests have shown promising results regarding detection speed and accuracy.
  • Celebrities will have the option to use these tools through their profiles.
  • User-uploaded video selfies for account recovery will be encrypted and securely stored.

While earlier versions of facial recognition were discontinued due to privacy concerns, Meta assures that the new system has undergone rigorous security vetting. This revitalization of technology signifies Meta's ongoing efforts to enhance user protection against identity theft and scams. As Nick Clegg, Meta’s president of global affairs, states, they are starting small and plan to expand these protective measures over the coming months.


This article was prepared using information from open sources in accordance with the principles of Ethical Policy. The editorial team is not responsible for absolute accuracy, as it relies on data from the sources referenced.


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