Systems and methods for intelligent phishing threat detection and phishing threat remediation in a cyber security threat detection and mitigation platform

A system for accelerating a cybersecurity event detection and remediation, the system comprising:

• a feature extractor implemented by one or more computers that extracts one or more corpora of feature data from a suspicious electronic communication provided by a subscriber to a cybersecurity service implementing the system, wherein the one or more corpora of feature data comprise at least one corpus of text data extracted from a body of the suspicious electronic communication;
• a text embedding system that computes, using a text embedding model, at least one text embedding value for the suspicious electronic communication based on the corpus of text data;
• and
• a cybersecurity event identification system implementing by one or more computers that:
• evaluates the at least one text embedding value of the corpus of text data against an n-dimensional mapping of a plurality of historical electronic communication vectors, the n-dimensional mapping comprising the plurality of historical electronic communication vectors derived for a plurality of historical electronic communications of the subscriber, wherein each of the plurality of historical electronic communications relates to a malicious electronic communication having a malicious intent;
• and
• identifies whether the suspicious electronic communication comprises one of an adverse electronic communication and a non-adverse electronic communication based on the evaluation of the at least one text embedding value of the corpus of text data against the n-dimensional mapping of adverse electronic communication vectors,
• wherein if the suspicious electronic communication comprises the adverse electronic communication, accelerating a cybersecurity event detection by routing data associated with the suspicious electronic communication to one of a plurality of distinct cybersecurity threat mitigation routes.