Task

Design and evaluate a next-generation email security solution to address phishing attacks that bypass traditional filters. The system should integrate authentication protocols, blacklist checks, ML content analysis, and URL scanning to prevent malicious emails from reaching end-users.

Solution

EmailAlexis is a multi-layered email security system that detects and blocks phishing attacks before they reach end-users. It integrates:

• SPF, DKIM, and DMARC authentication checks
• Blacklisted IP monitoring
• Machine learning–based email content analysis
• URL classification via MaliceSpotter

A weighted risk-scoring model combines these checks to classify emails as legitimate, suspicious, or phishing, achieving ~94.8% detection accuracy.

The system complies with EU cybersecurity regulations (GDPR, NIS2, DORA, AI Act) and follows a continuous monitoring process including retraining the ML model with new phishing data and integrating threat intelligence feeds.

Key Outcomes

• ~94.8% phishing detection accuracy
• EU regulatory compliance (GDPR, NIS2, DORA, AI Act) built-in
• Proposed AI-driven enhancements and threat-intelligence sharing frameworks

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