Abstract: The present disclosure provides techniques for real-time voice analysis to prevent social engineering that can be integrated with existing communication systems . A processing device generates, via an AI model, a representation of a voice of a speaker based on an audio recording comprising the voice of the speaker. The processing device determines, based on the audio recording, an identifier of the speaker. The processing device executes, based on the representation of the voice and the identifier of the speaker, a search over a database comprising cases for known threat campaigns and profiles for verified users. The processing device outputs, based on search results for the search, an indication as to whether the speaker is part of a threat campaign and a likelihood that a purported identity of the speaker matches an actual identity of the speaker.

Abstract: A system and method of detecting malicious activity in emails using pattern recognition. The method includes maintaining a plurality of associations between a plurality of emails and a plurality of multi-dimensional (MD) vectors of the plurality of emails. Each association is between a respective email of the plurality of emails and a respective MD vector of the plurality of MD vectors that corresponds to the respective email. The method includes identifying, based on one or more keywords, a set of MD vectors of the plurality of MD vectors. The method includes selecting, based on the plurality of associations, a set of emails associated with the set of MD vectors. The method includes generating, by a processing device, based on the set of emails or the set of MD vectors, a set of clusters to represent patterns in the set of emails.

Abstract: Systems and methods for smart generation of content for a deceptive honeynet environment. The systems and methods generate a first prompt to an artificial intelligence (AI) model to generate a first output based on an initial input, receive the first output from the AI model, the first output comprising a first set of content, generate a second prompt to the AI model to generate a second output comprising a network configuration based on the first set of content and the initial input, receive the second output from the AI model, the second output comprising the network configuration, wherein the network configuration is consistent with the first set of content and the initial input, and store the first set of content and the network configuration.

Abstract: A system and method of detecting malicious activity in emails using pattern recognition. The method includes maintaining a plurality of associations between a plurality of emails and a plurality of multi-dimensional (MD) vectors of the plurality of emails. Each association is between a respective email of the plurality of emails and a respective MD vector of the plurality of MD vectors that corresponds to the respective email. The method includes identifying, based on one or more keywords, a set of MD vectors of the plurality of MD vectors. The method includes selecting, based on the plurality of associations, a set of emails associated with the set of MD vectors. The method includes generating, by a processing device, based on the set of emails or the set of MD vectors, a set of clusters to represent patterns in the set of emails.