Expel, Inc.

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 associated with the security alert.

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 electronic communication to an alert disposal queue based on the electronic communication having the classification label of the target non-malicious electronic communication type.

A system and method for using digitally signed web tokens to securely share sensitive data includes identifying an API request that includes an authorization header comprising authentication data; assessing the authentication data of the API request against a corpus of valid authentication data; identifying the authentication data as valid authentication data and a target entity that corresponds to the authentication data; obtaining a set of permissions associated with the target entity; generating a digitally signed protobuf web token that includes a representation of the target entity and a representation of the set of permissions associated with the target entity; and based on the generation of the digitally signed protobuf web token: adapting the API request to an adapted API request that includes a header component comprising the digitally signed protobuf web token; and transmitting the adapted API request to a target API-processing service.

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 a deployed security integration.

A system, method, and computer-program product includes generating a polling task that is configured to retrieve raw event data of a subscriber that occurred during a target time span from a third-party security service, computing an optimal polling frequency control value for the polling task in response to generating the polling task, partitioning the target time span into a plurality of distinct sub-intervals of time based on the optimal polling frequency control value computed for the polling task, automatically transmitting, to an application programming interface endpoint of the third-party security service, a plurality of distinct network requests to optimally perform the polling task, receiving the raw event data of the subscriber from the third-party security service that occurred during the target time span in response to transmitting the plurality of distinct network request, and generating one or more security alerts in response to processing the raw event data.

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 electronic communication to an alert disposal queue based on the electronic communication having the classification label of the target non-malicious electronic communication type.

A system and method for accelerating a threat mitigation of malicious cybersecurity activity includes: identifying, via one or more processors, a cybersecurity event associated with a third-party application or a third-party service of a subscriber; generating, via the one or more processors, a service-proposed remediation action for the cybersecurity event based on the identifying of the cybersecurity event; automatically assessing, via the one or more processors, the service-proposed remediation action against automated remediation criteria of the subscriber based on the generation of the service-proposed remediation action; automatically constructing, via the one or more processors, a remediation action application programming interface (API) request for the service-proposed remediation action based on the service-proposed remediation action satisfying the automated remediation criteria of the subscriber; and automatically executing, via the one or more processors, the remediation action API request to remediation or mitigate a suspected cybersecurity threat associated with the cybersecurity event.

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 associated with the security alert.

A system and method for adapting one or more cybersecurity microservices to accelerate cybersecurity threat mitigation includes constructing a subscriber-specific data corpus comprising a plurality of distinct pieces of computing environment-informative data of a target subscriber; adapting a subscriber-agnostic microservice of the cybersecurity service to a subscriber-specific microservice, wherein: the subscriber-agnostic microservice includes a plurality of subscriber-agnostic cybersecurity event handling instructions, and adapting the subscriber-agnostic microservice to the subscriber-specific microservice includes generating a plurality of context-informed cybersecurity event handling instructions; augmenting the subscriber-agnostic microservice to include the plurality of context-informed cybersecurity event handling instructions; computing for a target cybersecurity event a subscriber-specific threat severity level based on one or more of the plurality of context-informed cybersecurity event handling instructions; executing, by one or more computers, a threat mitigation action or threat disposal action based on the computing of the subscriber-specific threat severity level for the target cybersecurity event.

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 technology source-agnostic security event signal satisfying a set of alerting conditions of one of the computer-executable detection instructions.