A question from the Phishing V3 webinar: URL & ML

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A question from the Phishing V3 webinar: URL & ML

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Any action(decision-making) ideas by using the URL Phishing & Machine learning Model?

 

Note: This question was asked during our Customer Success Webinar: Phishing V3

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Reply by: @Tomerhaimof & @ivandijk 

URL prediction is dependable automation to understand if a URL is phishing or not. Based on the results you may want to block the domain, URL, and/or the sender address. You can also hunt for emails containing that URL using Microsoft Defender or similar integrations! As for the email prediction - it depends on how well trained your model is. You can for example auto close spam email incidents when you have a good model and predicted non-malicious with a very high probability. 

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Reply by: @Tomerhaimof & @ivandijk 

URL prediction is dependable automation to understand if a URL is phishing or not. Based on the results you may want to block the domain, URL, and/or the sender address. You can also hunt for emails containing that URL using Microsoft Defender or similar integrations! As for the email prediction - it depends on how well trained your model is. You can for example auto close spam email incidents when you have a good model and predicted non-malicious with a very high probability. 

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