Email spam filters protect users from unwanted or malicious messages by analyzing email content and sender reputation. Configuration determines how aggressively spam is blocked.
Administrators define filtering rules based on keywords, attachments, and sender behavior. Machine learning models may also be used to adapt to new spam patterns. Quarantine systems allow suspicious messages to be reviewed before delivery.
Overly aggressive filtering can block legitimate messages, while weak filtering allows spam through. Regular tuning and review are required to maintain balance.
Proper spam filter configuration improves productivity and reduces security risks such as phishing attacks.
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