**Google AI to prevent phishing by detecting subtle changes in emails**
Google has developed a new AI-powered system to detect phishing emails by identifying subtle changes in the sender’s display name, email address, or subject line.
Phishing is a type of online fraud in which criminals send emails that appear to come from legitimate organizations in order to trick recipients into revealing sensitive information, such as passwords or credit card numbers.
Traditional anti-phishing techniques often rely on blacklists of known phishing domains or keywords in email content. However, phishing attacks are constantly evolving, and criminals are becoming more sophisticated in their attempts to bypass these filters.
Google’s new system uses a machine learning model to analyze a wide range of features in phishing emails, including the sender’s display name, email address, subject line, and body text. The model is trained on a large dataset of phishing emails and legitimate emails, and it learns to identify patterns that are indicative of phishing attacks.
The system is able to detect phishing emails with high accuracy, even when the criminals make subtle changes to the email content. For example, the system can detect phishing emails that use a slightly different spelling of the sender’s display name or email address, or that use a subject line that is very similar to a legitimate email subject line.
Google is deploying the new system to its Gmail service, and it is expected to significantly reduce the number of phishing emails that reach users’ inboxes.
The system is a significant advance in the fight against phishing, and it demonstrates the power of AI to help protect users from online fraud.
**How the system works**
The system uses a machine learning model to analyze a wide range of features in phishing emails, including the sender’s display name, email address, subject line, and body text. The model is trained on a large dataset of phishing emails and legitimate emails, and it learns to identify patterns that are indicative of phishing attacks.
The system works by first extracting a set of features from the email. These features include the sender’s display name, email address, subject line, and body text. The features are then fed into the machine learning model, which outputs a score that indicates the likelihood that the email is a phishing attack.
The system is able to detect phishing emails with high accuracy, even when the criminals make subtle changes to the email content. For example, the system can detect phishing emails that use a slightly different spelling of the sender’s display name or email address, or that use a subject line that is very similar to a legitimate email subject line.
**Benefits of the system**
The system offers a number of benefits over traditional anti-phishing techniques. First, the system is able to detect phishing emails with high accuracy, even when the criminals make subtle changes to the email content. Second, the system is relatively easy to deploy and maintain. Third, the system is scalable, and it can be used to protect a large number of users.
The system is a significant advance in the fight against phishing, and it demonstrates the power of AI to help protect users from online fraud.
**Conclusion**
Phishing is a serious threat to online security, and it is important to have effective defenses in place to protect users from these attacks. Google’s new AI-powered system is a significant advance in the fight against phishing, and it is expected to significantly reduce the number of phishing emails that reach users’ inboxes.
The system is a testament to the power of AI to help protect users from online fraud, and it is a major step forward in the fight against phishing..
