Abstract: A cybersecurity system and method for handling a cybersecurity event includes identifying a cybersecurity alert; selectively initializing automated threat intelligence workflows based on computing a cybersecurity alert type, wherein the automated threat intelligence workflows include a plurality of automated investigative tasks that, when executed by one or more computers, derive cybersecurity alert intelligence data; and executing the plurality of automated investigative tasks includes automatically sourcing a corpus of investigative data; deriving the cybersecurity alert intelligence data based on extracting selective pieces of data from the corpus of investigative data, wherein the cybersecurity alert intelligence data informs an inference of a cybersecurity alert severity of the cybersecurity alert; and automatically routing the cybersecurity alert to one of a plurality of distinct threat mitigation or threat disposal routes based on the cybersecurity alert severity of the cybersecurity alert.

Abstract: A cybersecurity system and method for handling a cybersecurity event includes identifying a cybersecurity alert; selectively initializing automated threat intelligence workflows based on computing a cybersecurity alert type, wherein the automated threat intelligence workflows include a plurality of automated investigative tasks that, when executed by one or more computers, derive cybersecurity alert intelligence data; and executing the plurality of automated investigative tasks includes automatically sourcing a corpus of investigative data; deriving the cybersecurity alert intelligence data based on extracting selective pieces of data from the corpus of investigative data, wherein the cybersecurity alert intelligence data informs an inference of a cybersecurity alert severity of the cybersecurity alert; and automatically routing the cybersecurity alert to one of a plurality of distinct threat mitigation or threat disposal routes based on the cybersecurity alert severity of the cybersecurity alert.

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 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 cybersecurity system and method for handling a cybersecurity event includes identifying a cybersecurity alert; selectively initializing automated threat intelligence workflows based on computing a cybersecurity alert type, wherein the automated threat intelligence workflows include a plurality of automated investigative tasks that, when executed by one or more computers, derive cybersecurity alert intelligence data; and executing the plurality of automated investigative tasks includes automatically sourcing a corpus of investigative data; deriving the cybersecurity alert intelligence data based on extracting selective pieces of data from the corpus of investigative data, wherein the cybersecurity alert intelligence data informs an inference of a cybersecurity alert severity of the cybersecurity alert; and automatically routing the cybersecurity alert to one of a plurality of distinct threat mitigation or threat disposal routes based on the cybersecurity alert severity of the cybersecurity alert.

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 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 cybersecurity system and method for handling a cybersecurity event includes identifying a cybersecurity alert; selectively initializing automated threat intelligence workflows based on computing a cybersecurity alert type, wherein the automated threat intelligence workflows include a plurality of automated investigative tasks that, when executed by one or more computers, derive cybersecurity alert intelligence data; and executing the plurality of automated investigative tasks includes automatically sourcing a corpus of investigative data; deriving the cybersecurity alert intelligence data based on extracting selective pieces of data from the corpus of investigative data, wherein the cybersecurity alert intelligence data informs an inference of a cybersecurity alert severity of the cybersecurity alert; and automatically routing the cybersecurity alert to one of a plurality of distinct threat mitigation or threat disposal routes based on the cybersecurity alert severity of the cybersecurity alert.

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 cybersecurity system and method for handling a cybersecurity event includes identifying a cybersecurity alert; selectively initializing automated threat intelligence workflows based on computing a cybersecurity alert type, wherein the automated threat intelligence workflows include a plurality of automated investigative tasks that, when executed by one or more computers, derive cybersecurity alert intelligence data; and executing the plurality of automated investigative tasks includes automatically sourcing a corpus of investigative data; deriving the cybersecurity alert intelligence data based on extracting selective pieces of data from the corpus of investigative data, wherein the cybersecurity alert intelligence data informs an inference of a cybersecurity alert severity of the cybersecurity alert; and automatically routing the cybersecurity alert to one of a plurality of distinct threat mitigation or threat disposal routes based on the cybersecurity alert severity of the cybersecurity alert.

Abstract: Example apparatus disclosed herein determine a first candidate duration of a session based on a first difference between a first time associated with a first start ping and a second time associated with a first end ping, the first start ping and the first end ping identified from a plurality of pings based on a first partitioning scheme. Disclosed example apparatus also determine a second candidate duration of the session based on a second difference between a third time associated with a second start ping and a fourth time associated with a second end ping, the second start ping and the second end ping identified from the plurality of pings based on a second partitioning scheme. Disclosed example apparatus further select at least one of the first candidate duration or the second candidate duration to represent the session based on a demographics model.

Abstract: Methods, apparatus, systems and articles of manufacture to build viewing sessions from ping-level data are disclosed herein. An example apparatus includes a threshold calculator to determine a threshold based on reference sessions represented in panel data obtained from panel meters. The example apparatus also includes a session partitioner to determine if a first ping from a device corresponds to a start ping of the session and a second ping from the device corresponds to an end ping of the session based on (i) the threshold, (ii) first payload data from the first ping, and (iii) second payload data from the second ping. The example apparatus includes the session partitioner to also determine a duration of the session based on a difference between a first time associated with the first ping and a second time associated with the second ping.

Abstract: Methods, apparatus, systems and articles of manufacture to build viewing sessions from ping-level data are disclosed herein. An example apparatus includes a threshold calculator to determine a threshold based on reference sessions represented in panel data obtained from panel meters. The example apparatus also includes a session partitioner to determine if a first ping from a device corresponds to a start ping of the session and a second ping from the device corresponds to an end ping of the session based on (i) the threshold, (ii) first payload data from the first ping, and (iii) second payload data from the second ping. The example apparatus includes the session partitioner to also determine a duration of the session based on a difference between a first time associated with the first ping and a second time associated with the second ping.