Abstract: A system and method for accelerating a configuration and deployment of automated alert suppression instructions using a cybersecurity alert detection and response platform includes constructing a computer-executable alert suppression instruction based on a subset of a plurality of distinct pieces of alert data corresponding to a target cybersecurity alert; performing one or more alert suppression simulations based on the computer-executable alert suppression instruction, wherein each of the one or more alert suppression simulations include: automatically assessing a corpus of historical cybersecurity alert data of a predetermined time span against the computer-executable alert suppression instruction; and automatically computing a plurality of distinct cybersecurity threat-informative simulation metrics based on the automatic assessing; and implementing the computer-executable alert suppression instruction into a target subscriber-specific cybersecurity environment of the cybersecurity alert detection and res

Abstract: A system, method, and computer-program product includes obtaining a security event, retrieving a set of historical security events related to the security event in response to searching an embeddings space, automatically generating a plurality of metadata similarity assessment prompts and a plurality of proposed event handling prompts after retrieving the set of historical security events, automatically providing the plurality of metadata similarity assessment prompts and the plurality of proposed event handling prompts to one or more language models, obtaining, from the one or more language models, a plurality of metadata similarity findings and a plurality of proposed event handling actions based on the one or more language models processing the plurality of metadata similarity assessment prompts and the plurality of proposed event handling prompts, and displaying, on a user interface, the security event in association with the plurality of metadata similarity findings and the plurality of proposed event ha

Abstract: A system and method for automated verification of a cybersecurity event includes identifying a cybersecurity event of a subscriber; automatically constructing a response-enabled verification communication based on one or more features of the cybersecurity event satisfying verification-initiating criteria of an automated verification-initiation workflow, and transmitting the response-enabled verification communication to the subscriber associated with the cybersecurity event, wherein the response-enabled verification communication includes: one or more pieces of event-descriptive content; a first selectable interface object that, when selected by the subscriber, automatically increases a threat severity level of the cybersecurity event; and a second selectable interface object that, when selected by the subscriber, automatically de-escalates the threat severity level of the cybersecurity event causing a disposal of the cybersecurity event; and automatically routing the cybersecurity event to one of a cybersecu

Abstract: A system and method for accelerating a cybersecurity event detection and remediation includes extracting corpora of feature data from a suspicious electronic communication, wherein the corpora of feature data comprise at least one corpus of text data extracted from a body of the suspicious electronic communication; computing at least one text embedding value for the suspicious electronic communication; evaluating the text embedding values of the corpus of text data against an n-dimensional mapping of adverse electronic communication vectors, the n-dimensional mapping comprising a plurality of historical electronic communication vectors derived for a plurality of historical electronic communications; identifying whether the suspicious electronic communication comprises one of an adverse electronic communication based on the evaluation of the text embedding value, and accelerating a cybersecurity event detection by routing data associated with the suspicious electronic communication to one of a plurality of dis

Abstract: A system, method, and computer-program product includes obtaining raw event data associated with a subscriber, automatically selecting an automated event ingestion instruction of a plurality of distinct automated event ingestion instructions for processing the raw event data, automatically generating a pre-normalized security event that includes the raw event data in a first structured data object in response to executing the automated event ingestion instruction, automatically transforming the pre-normalized security event to at least one normalized security event, automatically assessing a corpus of computer-executable detection instructions against the at least one normalized security event, generating a security alert based on the at least one normalized security event satisfying a set of alerting conditions of a subject computer-executable detection instruction of the corpus of computer-executable detection instructions, and executing a threat mitigation response that mitigates a security threat associat

Abstract: A system, method, and computer-program product includes obtaining a third-party security event of a subscriber, generating a technology source-agnostic security event signal for the third-party security event based on routing the third-party security event to an event normalization service, identifying a technology source-agnostic security event signal type that corresponds to the technology source-agnostic security event signal based on generating the technology source-agnostic security event signal, retrieving a corpus of computer-executable detection instructions digitally mapped to the technology source-agnostic security event signal type based on querying a detection instructions retrieval application programming interface (API), assessing the technology source-agnostic security event signal against each computer-executable detection instruction included in the corpus of computer-executable detection instructions, and generating, via the one or more processors, a prospective security alert based on the t

Abstract: A computer-implemented system, computer-implemented method, and computer-program product include automatically generating, using a large language model, a security incident explanation that explains a security incident in natural language based on providing the large language model with a security incident explanation prompt. The security incident explanation prompt includes a plurality of distinct security alerts, investigation findings data, and a plurality of remediation actions.

Abstract: A system and method for accelerating a configuration and deployment of automated alert suppression instructions using a cybersecurity alert detection and response platform includes constructing a computer-executable alert suppression instruction based on a subset of a plurality of distinct pieces of alert data corresponding to a target cybersecurity alert; performing one or more alert suppression simulations based on the computer-executable alert suppression instruction, wherein each of the one or more alert suppression simulations include: automatically assessing a corpus of historical cybersecurity alert data of a predetermined time span against the computer-executable alert suppression instruction; and automatically computing a plurality of distinct cybersecurity threat-informative simulation metrics based on the automatic assessing; and implementing the computer-executable alert suppression instruction into a target subscriber-specific cybersecurity environment of the cybersecurity alert detection and res

Abstract: A system, method, and computer-program product includes obtaining a security event, retrieving a set of historical security events related to the security event in response to searching an embeddings space, automatically generating a plurality of metadata similarity assessment prompts and a plurality of proposed event handling prompts after retrieving the set of historical security events, automatically providing the plurality of metadata similarity assessment prompts and the plurality of proposed event handling prompts to one or more language models, obtaining, from the one or more language models, a plurality of metadata similarity findings and a plurality of proposed event handling actions based on the one or more language models processing the plurality of metadata similarity assessment prompts and the plurality of proposed event handling prompts, and displaying, on a user interface, the security event in association with the plurality of metadata similarity findings and the plurality of proposed event ha

Abstract: A system, method, and computer-program product for detecting cybersecurity threats using indicators of compromise. The system, method, and computer-program product generate threat hunt queries based on a temporal look-back parameter to retrieve historical security event data, construct detection instructions from the historical data, and reuse the threat hunt queries to retrieve, in real-time, new security event data for real-time threat detection.

Abstract: A system, method, and computer-implemented method includes obtaining an identity alert, generating an identity alert feature vector for the identity alert based in part on alert data corresponding to the identity alert, computing, using a first identity alert machine learning classification model, a first identity alert threat inference that includes a probability of the identity alert being a non-malicious identity alert, computing, using a second identity alert machine learning classification model, a second identity alert threat inference that includes a probability of the identity alert being a benign identity alert, electing one of the first identity alert threat inference and the second identity alert threat inference as a dominant identity alert threat inference for the identity alert, and executing, based on the dominant identity alert threat inference, one or more identity alert threat mitigation actions or one or more identity alert disposal actions for the identity alert.

Abstract: A system, method, and computer-program product includes displaying, via a data integration building user interface, a plurality of integration-identifying user interface input elements configured to receive one or more strings of text for specifying a set of integration identification parameters that characterize an in-development security integration for a third-party security service, displaying, via the data integration building user interface, a signal-specific data mapping container based on receiving an input selecting a signal mapping addition control button of the data integration building user interface, displaying, via the data integration building user interface, a raw event simulation container based on receiving an input selecting a simulation addition control button of the data integration building user interface, and displaying, via the data integration building user interface, an integration deployment control element that, when operated, transitions the in-development security integration to

Abstract: A system and method for generating event-specific handling instructions for accelerating a threat mitigation of a cybersecurity event includes identifying a cybersecurity event; generating a cybersecurity event digest based on the cybersecurity event, computing a cybersecurity hashing-based signature of the cybersecurity event based on the cybersecurity event digest; searching, based on the distinct cybersecurity hashing-based signature of the cybersecurity event, an n-dimensional space comprising a plurality of historical cybersecurity event hashing-based signatures; returning one or more historical cybersecurity events or historical cybersecurity alerts homogeneous to the cybersecurity event based on the search; deriving one or more cybersecurity event-specific handling actions for the cybersecurity event based on identifying a threat handling action corresponding to each of the one or more historical cybersecurity events or historical cybersecurity alerts homogeneous to the cybersecurity event; and executi

Abstract: A system, method, and computer-program product includes obtaining a security event, retrieving a set of historical security events related to the security event in response to searching an embeddings space, automatically generating a plurality of metadata similarity assessment prompts and a plurality of proposed event handling prompts after retrieving the set of historical security events, automatically providing the plurality of metadata similarity assessment prompts and the plurality of proposed event handling prompts to one or more language models, obtaining, from the one or more language models, a plurality of metadata similarity findings and a plurality of proposed event handling actions based on the one or more language models processing the plurality of metadata similarity assessment prompts and the plurality of proposed event handling prompts, and displaying, on a user interface, the security event in association with the plurality of metadata similarity findings and the plurality of proposed event ha

Abstract: A system, method, and computer-program product includes executing a computer-executable threat hunting protocol for autonomously assessing digital activity data associated with one or more environments of a subscriber, wherein executing the computer-executable threat hunting protocol includes: executing the at least one behavioral sequence model to output an initial set of likely suspicious digital activity that occurred within the one or more environments, assessing the initial set of likely suspicious digital activity outputted by the at least one behavioral sequence model against the at least one auxiliary enrichment dataset to identify a subset of the initial set of likely suspicious digital activity that is not suspicious, and outputting a refined set of suspicious digital activity by removing the subset of the initial set of likely suspicious digital activity from the initial set of likely suspicious digital activity, and surfacing, via a user interface, the refined set of suspicious digital activity.