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Web.de and GMX Advise Marking Spam to Train AI Filters

Providers issued the recommendation after cutting spam volumes by 15 percent through stricter sender verification alongside new AI screening.

Overview

  • Web.de and GMX have reduced weekly spam from 2.1 billion to about 1.8 billion messages by enforcing stronger sender authentication, AI-based analysis and targeted message deferral.
  • German users face three primary phishing ploys: fake voucher redemption requests, investment pitches tied to TV entrepreneurs and fraudulent online-banking alerts.
  • Recipients are urged to inspect sender domains for minor typos or irregularities to distinguish legitimate emails from scams.
  • Users should avoid clicking unsolicited login links and immediately reset passwords if they suspect their account has been compromised.
  • Actively flagging unwanted messages as spam instead of deleting them feeds machine-learning filters with crucial data to refine future detection.