Sender analysis helps you assess whether an email is coming from a legitimate sender. By combining machine learning and rules-based logic, this method evaluates sender profiles, looking at things like authentication results, past behavior, and patterns from previous messages.
Sender analysis can help you detect:
Impersonation attempts using fake email addresses or domains
Suspicious senders with authentication issues (e.g., SPF, DKIM, DMARC failures)
Unusual behavior based on historical patterns, like frequent urgent requests
Senders linked to known phishing or malware campaigns
Changes in sender behavior that could indicate a compromised account
For example, an attacker might try to impersonate a trusted vendor or executive. The email address or domain might look real, but sender analysis can catch issues like failed authentication checks or past suspicious activity, helping you spot these threats before they do damage.