Abstract: A method for cybersecurity threat actor severity scoring, the method comprising: receiving public data that includes publicly available information obtained via monitoring of a data connection between one or more networks; parsing first data related to a cybersecurity event from the public data; associating the first data with a first threat actor; obtaining second data that includes information regarding one or more previous cybersecurity events associated with the first threat actor; determining a first threat actor score based on the first data and the second data; receiving a second threat actor score for a second threat actor; causing a graphical user interface to display a graphical depiction of a ranking of the first threat actor and the second threat actor based on the first threat actor score and the second threat actor score.

Abstract: A method for cybersecurity threat actor severity scoring, the method comprising: receiving public data that includes publicly available information obtained via monitoring of a data connection between one or more networks; parsing first data related to a cybersecurity event from the public data; associating the first data with a first threat actor; obtaining second data that includes information regarding one or more previous cybersecurity events associated with the first threat actor; determining a first threat actor score based on the first data and the second data; receiving a second threat actor score for a second threat actor; causing a graphical user interface to display a graphical depiction of a ranking of the first threat actor and the second threat actor based on the first threat actor score and the second threat actor score.

Abstract: In some implementations, an education system may receive demographic information and account information associated with a user. The education system may generate a risk profile based on the demographic information and the account information. The education system may map the risk profile to at least one threat, out of a plurality of possible threats indicated in a data structure, likely to be targeted to the user. The education system may transmit, to a user device, an educational message that is associated with the at least one threat and that is indicated in the data structure.

Abstract: A method for cybersecurity threat actor severity scoring, the method comprising: receiving public data that includes publicly available information obtained via monitoring of a data connection between one or more networks; parsing first data related to a cybersecurity event from the public data; associating the first data with a first threat actor; obtaining second data that includes information regarding one or more previous cybersecurity events associated with the first threat actor; determining a first threat actor score based on the first data and the second data; receiving a second threat actor score for a second threat actor; causing a graphical user interface to display a graphical depiction of a ranking of the first threat actor and the second threat actor based on the first threat actor score and the second threat actor score.