Google Search Enhances User Safety with Verified Checkmarks

Friday, 4 October 2024, 22:36

Google Search is testing blue verified checkmarks to identify legitimate websites, helping users avoid fraudulent sites. This new feature aims to provide a reliable way to distinguish between verified and fraudulent entities. By indicating verified businesses, Google seeks to enhance user trust and safety as fraud continues to rise.
Indiatvnews
Google Search Enhances User Safety with Verified Checkmarks

Google Search Tests Blue Verified Checkmarks

Google Search is introducing a new feature to help users identify legitimate websites amidst a growing number of fraudulent sites. With blue verified checkmarks appearing next to the names of verified companies, the goal is to provide more confidence when interacting online.

Understanding the Feature

This feature draws on Google’s Brand Indicators for Message Identification (BIMI), which previously provided verified logos for email communications. As part of this new rollout, businesses such as Microsoft, Meta, Apple, and Amazon are demonstrating this verification in Google Search results.

  • Checkmarks offer a quick visual indication of a company's legitimacy.
  • Hovering over the checkmark reveals a message about the business's verified status.
  • Google emphasizes that while these signals are positive, they do not guarantee reliability.

The Fight Against Cyber Fraud

In related news, the Department of Telecommunications (DoT) is preparing a new system to combat cyber fraud linked to voice spoofing. Increasing incidents showcase the need for protective measures against challenges like altered voice calls and digital extortion.

Victims, including individuals like teacher Malti Verma, illustrate the dangers of such fraudulent schemes. With initiatives underway, it is critical for users to stay informed and cautious in their interactions.


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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