Google has added some new security features to Gmail, and one of them is reportedly improving the detection of phishing or Phishing 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 machine learning model improves the process by delaying selected messages (less than 0,05% of messages on average) for further analysis fishing.
Google reports that new crawling patterns will also help create new warnings delaying time access in the URL, showing users a warning question when they've clicked on a suspicious link. As new standards are identified, new protection models will adapt and improve over time.
In addition, Google added warnings externalof reply to the company's email 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, preventing millions of add-ons that are attached to emails.
Threats are identified by combining flags from spam, malicious preletterand ransomware with attachment heuristics (emails that may be threats based on flags) and senders' digital signatures (already marked as malware).
