Google added some new ones functions security in Gmail, and one of them reportedly improves the detection of electronic "phishing" or phishing by using in a specialized machine learning model.
According to the company 50 up to 70 percent of incoming messages in gmail is spam, but learning engineering techniques help Google beat spam and phishing messages with accuracy that reaches 99,9%.
The latest engineering learning model improves the process by delaying selected messages (less than the average of 0,05% of messages) for further fishing analysis.
Google reports that the news models detection will also help to create new warnings delaying access time to the URL by showing users a warning question when they clicked on a suspicious link. As new standards are identified, new protection models will be adapted and improved over time.
In addition, Google added external company alert warnings to prevent users from sending accidentally protected data to someone outside of their company.
Gmail won't stop her Mission but with warnings it will try to delay it a bit, according to Google, as the machine intelligence will alert Gmail if the recipient is an existing contact or someone the sender regularly interacts with.
Google also added new built-in defenses against ransomware and polymorphic malware, preventing millions of add-ons that are attached to emails.
Threats are identified by combining signalflags from spam, malware and ransomware with attachment heuristics (emails that may be threats based on flags) and senders' digital signatures (already flagged as malware).
