Natural Language Understanding (NLU) uses machine learning algorithms to analyze and interpret message content, helping systems detect subtle signs of malicious intent. Instead of just matching keywords, NLU looks at the context, tone, urgency, and intent behind the message.
NLU can help you detect:
Urgent language commonly used in BEC attacks impersonating executives or departments
Credential theft attempts disguised as legitimate service notifications
Extortion or blackmail tactics used in intimidation campaigns
Financial terms typically found in payment fraud or invoice scams
Deceptive job offers designed to steal sensitive information
For example, NLU can identify when an email uses urgent language ("immediate attention required") combined with financial requests ("wire transfer") and impersonation, which are common tactics in BEC attacks.