Google using Machine Learning to Block Malware and Phishing Mails
Google published a blog post introducing machine learning to detect phishing Emails, click-time warnings for malicious links, and unintended external reply warnings.
Machine learning has helped Gmail accomplish over 99% accuracy in spam recognition, and with this new security improvements.Google continuously focussing on Security improvements for Gmail users.
Google continuously focussing on Security improvements for Gmail users.
At RSA Conference Elie Bursztein the head of Google’s anti-abuse research team said they are to implement the SMTP Strict Transport Security following by Gmail users soon.
Last February Google also launched new hosted S/MIME solution to enhance security for Gmail in the enterprise.
"We now connect spam signals with connection and sender heuristics, to anticipate messages containing new and concealed malware variations.This protection empowers Gmail to better shield for from zero-day dangers, ransomware, and polymorphic malware."
Machine learning to detect phishing EmailsWith machine learning, Google can square tricky spam and phishing messages from appearing in your inbox with more than 99.9% precision.
They are Continuously enhancing spam identification accuracy with an active machine learning model which run a thorough phishing analysis to make sure user protection.
"This examination to keep running on particular messages which delay by 0.05 percent. They likewise coordinated Google saffe browsing teechnilogies, such as reputation and similarity analysis on URLs."
New WarningsHereafter Google decides to show warnings if you send Emails outside of your company domain. Google uses contextual intelligence which avoids from demonstrating this notice for clients that you regularly interact.
File types that can’t be attached
You can also send an Encrypted and password to protect your Gmail message in a click with the plugin Secure Email.
As we know scammers try to Bypass Antispam gateways by using tricky Email attachments and Google trying to handle it in different ways.