Google has added some new security features to Gmail, one of which is said to improve the detection of phishing or phishing using a specialized machine learning model.
According to the company 50 up to 70 percent of incoming messages in gmail are spam, but machine learning techniques help Google beat them messages spam and phishing with an accuracy of up to 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 will not stop sending, but with warnings it will be trying to delay it a bit, according to Google, as mechanical intelligence will alert Gmail if the recipient is an existing contact or someone with whom the sender interacts regularly.
Google also added new built-in defenses against it ransomware and multifaceted malware, blocking millions of add-ons that attach 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).
