Detecting phishing attacks using AI involves employing machine learning algorithms to analyze various attributes of emails or websites to identify patterns indicative of phishing

1. Email Analysis: Analyze email headers, sender's address, and content for inconsistencies or suspicious patterns.

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2. Link and Attachment Inspection: Check links for known phishing domains or URLs resembling legitimate ones (e.g., using URL blacklists)

3. Image Analysis: Use computer vision techniques to analyze embedded images for hidden URLs or malicious content.

4.Real-time Detection: Implement AI models that can adapt to new phishing techniques and trends in real-time