Google added some new features better safetys in Gmail, and one of them reportedly improves the detection of electronic "phishing" or phishing by using a specialized machine learning model.
According to company 50 to 70 percent of incoming messages to 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 new crawling patterns will also help create new warnings delaying time access στο URL, εμφανίζοντας στους χρήστες μια προειδοποιητική ερώτηση όταν έχουν κάνει κλικ σε έναν ύποπτο σύνδεσμο. Καθώς εντοπίζονται νέα πρότυπα, τα νέα μοντέλα προστασίας θα προσαρμοστούν και θα βελτιωθούν με το χρόνο.
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 ransomware and polymorphic malware, blocking millions of plug-ins distributed as email attachments post officeU.
Threats are identified by combining flags of spam, malware, and ransomware with euristics attachments (emails that may be flagship threats), and digital signatures of senders (already identified as malicious programs).
