Email Filtering

Email filtering is a technology or process that automatically sorts, blocks, or prioritizes incoming email messages based on predefined rules, patterns, or machine learning algorithms. It is commonly used to manage spam, phishing attempts, malware, and organize emails into categories like promotions, social, or primary inboxes. This helps users maintain inbox cleanliness, improve security, and enhance productivity by reducing unwanted or harmful content.

Also known as: Email Spam Filtering, Mail Filtering, Email Sorting, Inbox Filtering, Email Classification

Why learn Email Filtering?

Developers should learn email filtering to build secure and efficient email systems, integrate it into applications for automated email handling, or manage corporate email infrastructure to protect against threats. Specific use cases include implementing spam filters in web applications, setting up email routing rules in cloud services like AWS SES or SendGrid, and developing email classification features in productivity tools or customer support platforms.

Learning Resources

• docs: SpamAssassin Documentation
• docs: Google's Email Filtering Best Practices
• course: Coursera: Machine Learning for Email Filtering
• video: YouTube: How Email Filtering Works
• book: Book: 'Email Security with DKIM, SPF, and DMARC'