Starting this week, Google introducing two new security warnings in Gmail to help you keep your email safer.
On the web or Android, if you receive a message that can’t be authenticated with either Sender Policy Framework (SPF) or DKIM, you’ll see a question mark in place of the sender’s profile photo, corporate logo, or avatar.
On the web, if you receive a message with a link to a dangerous site known for phishing, malware, and Unwanted Software, you’ll begin to see warnings when you click on the link. These warnings are an extension of the Safe Browsing protection available to various web browsers today. The full-page warning will look like this:
Please note: Not all affected email will necessarily be dangerous. But we encourage you to be extra careful about replying to, or clicking on links in messages that you’re not sure about. And with these updates, you’ll have the tools to make these kinds of decisions.
Launching to Rapid release, with scheduled release coming in 2 weeks
Gradual rollout (potentially longer than 3 days for feature visibility)
All end users
Change management suggested. The Help Center articles below outline the expected behavior, and can be used to help effectively communicate these changes to users.
Source: Google Apps Update
“Less than 0.1% of email in the average Gmail inbox is spam, and the amount of wanted mail landing in the spam folder is even lower, at under 0.05%,” Sri Harsha Somanchi, product manager, said in a Google blog post.
“Even still, Gmail spam detection isn’t perfect. So we’re sharing some of the new ways we are supporting the senders of wanted mail, and using the latest Google smarts to filter out spam,” Somanchi further stated.
Google is launching Gmail Postmaster Tools that help qualified high-volume senders analyse their email, including data on delivery errors, spam reports, and reputation. This way they can diagnose any hiccups, study best practices, and help Gmail route their messages to the right place.
The company said the spam filter now uses an artificial neural network to detect and block the especially sneaky spam—the kind that could actually pass for wanted mail.
“We also recognise that not all inboxes are alike. So while your neighbor may love weekly email newsletters, you may loathe them. With advances in machine learning, the spam filter can now reflect these individual preferences,” the blog post reads.
“Finally, the spam filter is better than ever at rooting out email impersonation—that nasty source of most phishing scams. Thanks to new machine learning signals, Gmail can now figure out whether a message actually came from its sender, and keep bogus email at bay.”