Unmasking BEC attacks using Natural Language Understanding + MQL · Blog · Sublime Security
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Feed Name: Sublime Security Blog
This blog post explains Business Email Compromise (BEC) attacks and demonstrates how combining Natural Language Understanding (intent classification and named entity recognition) with Message Query Language (MQL) can help detect targeted BECs by identifying impersonation, urgency, and request patterns in email content.
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