The beta access to Gmail’s end-to-end encryption feature for its email messaging service, which is part of Google Workspace, will be available to a larger number of customers. Emails and attachments on the Web are protected further by the company’s encryption technology.
By giving users control over the encryption keys and who will have access to their data, Google promised to provide client-side encryption software last year. The help has declared that it will permit more clients to apply to beta-test the component.
In a blog post, Google said that the beta version of its client-side encryption (CSE) in Gmail on the Web will now be available to select Google Workspace Enterprise and Education customers.
On Google Drive, Google Docs, Sheets, Slides, Google Meet, and Google Calendar, a beta version of CSE is currently available. In 2021, the feature was added to Google Drive.
The company says that customers of Google Workspace Enterprise Plus, Education Plus, and Education Standard who are eligible can apply to participate in the beta testing through Google’s support center until January 20 of next year. By clicking a padlock button while writing an email, users will be able to enable end-to-end encryption once it is implemented.
Google stated, “All data at rest and in transit between our facilities already uses the most recent cryptographic standards.” This indicates that, despite the fact that Google encrypts user data as it travels to the company’s servers, the company can access the data’s contents. By ensuring that only the sender and recipient have access to the encryption keys, CSE eliminates concerns about customer privacy.
In the meantime, as part of its efforts to make digital payments safer in the country, Google on Monday announced new fraud detection methods for its UPI-based payment app, Google Pay.
Multi-layered warnings will be used by a new Google Pay feature to inform Indian users of any suspicious activity on their accounts. To guard against fraud on the payment platform, the app will use machine learning to identify fraudulent activity or suspicious payment requests and display a warning to users.
