Abstract: A system and method for accelerating a disposition of non-malicious electronic communications includes extracting one or more corpora of feature vectors from an electronic communication based on providing the electronic communication as input to a feature extractor; computing, by a machine learning-based electronic communication classification model, an electronic communication-type classification inference that includes a probability of the electronic communication being of the target non-malicious electronic communication type in response to the machine learning-based electronic communication classification model receiving the one or more corpora of feature vectors; attributing a classification label of the target non-malicious electronic communication type to the electronic communication based on the probability of the electronic communication-type classification inference satisfying a minimum electronic communication classification threshold; and automatically routing a security alert associated with the

Abstract: A system and method for accelerating a disposition of non-malicious electronic communications includes extracting one or more corpora of feature vectors from an electronic communication based on providing the electronic communication as input to a feature extractor; computing, by a machine learning-based electronic communication classification model, an electronic communication-type classification inference that includes a probability of the electronic communication being of the target non-malicious electronic communication type in response to the machine learning-based electronic communication classification model receiving the one or more corpora of feature vectors; attributing a classification label of the target non-malicious electronic communication type to the electronic communication based on the probability of the electronic communication-type classification inference satisfying a minimum electronic communication classification threshold; and automatically routing a security alert associated with the

Abstract: A system and method for accelerating a disposition of non-malicious electronic communications includes extracting one or more corpora of feature vectors from an electronic communication based on providing the electronic communication as input to a feature extractor; computing, by a machine learning-based electronic communication classification model, an electronic communication-type classification inference that includes a probability of the electronic communication being of the target non-malicious electronic communication type in response to the machine learning-based electronic communication classification model receiving the one or more corpora of feature vectors; attributing a classification label of the target non-malicious electronic communication type to the electronic communication based on the probability of the electronic communication-type classification inference satisfying a minimum electronic communication classification threshold; and automatically routing a security alert associated with the

Abstract: A system and method for accelerating a disposition of non-malicious electronic communications includes extracting one or more corpora of feature vectors from an electronic communication based on providing the electronic communication as input to a feature extractor; computing, by a machine learning-based electronic communication classification model, an electronic communication-type classification inference that includes a probability of the electronic communication being of the target non-malicious electronic communication type in response to the machine learning-based electronic communication classification model receiving the one or more corpora of feature vectors; attributing a classification label of the target non-malicious electronic communication type to the electronic communication based on the probability of the electronic communication-type classification inference satisfying a minimum electronic communication classification threshold; and automatically routing a security alert associated with the

Abstract: A system and method for deploying cybersecurity resources includes sourcing cybersecurity operations data that includes a plurality of distinct datasets derived from a handling of a target cybersecurity event; extracting, from the cybersecurity operations data, at least cybersecurity task feature data relating to a plurality of cybersecurity tasks and metadata, wherein each cybersecurity task of the plurality of cybersecurity tasks includes an identification of an operation executed when handling or the target cybersecurity event and an identification of an operator executing the operation; deriving timestamp data for each operation executed by a respective operator of each respective cybersecurity task of the plurality of cybersecurity tasks instantiating, by computer processors, a cybersecurity event data structure; using entries of the cybersecurity event data structure to compute allocation values for cybersecurity resources for handling impending cybersecurity events; and deploying, within a security ope

Abstract: A system and method for accelerating a disposition of non-malicious electronic communications includes extracting one or more corpora of feature vectors from an electronic communication based on providing the electronic communication as input to a feature extractor; computing, by a machine learning-based electronic communication classification model, an electronic communication-type classification inference that includes a probability of the electronic communication being of the target non-malicious electronic communication type in response to the machine learning-based electronic communication classification model receiving the one or more corpora of feature vectors; attributing a classification label of the target non-malicious electronic communication type to the electronic communication based on the probability of the electronic communication-type classification inference satisfying a minimum electronic communication classification threshold; and automatically routing a security alert associated with the

Abstract: A system and method for deploying cybersecurity resources includes sourcing cybersecurity operations data that includes a plurality of distinct datasets derived from a handling of a target cybersecurity event; extracting, from the cybersecurity operations data, at least cybersecurity task feature data relating to a plurality of cybersecurity tasks and metadata, wherein each cybersecurity task of the plurality of cybersecurity tasks includes an identification of an operation executed when handling or the target cybersecurity event and an identification of an operator executing the operation; deriving timestamp data for each operation executed by a respective operator of each respective cybersecurity task of the plurality of cybersecurity tasks instantiating, by computer processors, a cybersecurity event data structure; using entries of the cybersecurity event data structure to compute allocation values for cybersecurity resources for handling impending cybersecurity events; and deploying, within a security ope

Abstract: A system and method for deploying cybersecurity resources includes sourcing cybersecurity operations data that includes a plurality of distinct datasets derived from a handling of a target cybersecurity event; extracting, from the cybersecurity operations data, at least cybersecurity task feature data relating to a plurality of cybersecurity tasks and metadata, wherein each cybersecurity task of the plurality of cybersecurity tasks includes an identification of an operation executed when handling or the target cybersecurity event and an identification of an operator executing the operation; deriving timestamp data for each operation executed by a respective operator of each respective cybersecurity task of the plurality of cybersecurity tasks instantiating, by computer processors, a cybersecurity event data structure; using entries of the cybersecurity event data structure to compute allocation values for cybersecurity resources for handling impending cybersecurity events; and deploying, within a security ope

Abstract: A system and method for deploying cybersecurity resources includes sourcing cybersecurity operations data that includes a plurality of distinct datasets derived from a handling of a target cybersecurity event; extracting, from the cybersecurity operations data, at least cybersecurity task feature data relating to a plurality of cybersecurity tasks and metadata, wherein each cybersecurity task of the plurality of cybersecurity tasks includes an identification of an operation executed when handling or the target cybersecurity event and an identification of an operator executing the operation; deriving timestamp data for each operation executed by a respective operator of each respective cybersecurity task of the plurality of cybersecurity tasks instantiating, by computer processors, a cybersecurity event data structure; using entries of the cybersecurity event data structure to compute allocation values for cybersecurity resources for handling impending cybersecurity events; and deploying, within a security ope

Abstract: A system and method for accelerating a disposition of non-malicious electronic communications includes extracting one or more corpora of feature vectors from an electronic communication based on providing the electronic communication as input to a feature extractor; computing, by a machine learning-based electronic communication classification model, an electronic communication-type classification inference that includes a probability of the electronic communication being of the target non-malicious electronic communication type in response to the machine learning-based electronic communication classification model receiving the one or more corpora of feature vectors; attributing a classification label of the target non-malicious electronic communication type to the electronic communication based on the probability of the electronic communication-type classification inference satisfying a minimum electronic communication classification threshold; and automatically routing a security alert associated with the

Abstract: A system and method for accelerating a disposition of non-malicious electronic communications includes extracting one or more corpora of feature vectors from an electronic communication based on providing the electronic communication as input to a feature extractor; computing, by a machine learning-based electronic communication classification model, an electronic communication-type classification inference that includes a probability of the electronic communication being of the target non-malicious electronic communication type in response to the machine learning-based electronic communication classification model receiving the one or more corpora of feature vectors; attributing a classification label of the target non-malicious electronic communication type to the electronic communication based on the probability of the electronic communication-type classification inference satisfying a minimum electronic communication classification threshold; and automatically routing a security alert associated with the