Re-identifying pseudonymized or de-identified data utilizing distributed ledger technology

A computer-implementable method for managing privacy in a cybersecurity system comprising:

• identification of de-identified data utilizing a distributed ledger, comprising:
• de-identifying an event stream of one or more events associated with an individual, wherein de-identified data includes a pseudonym and personal information of an individual;
• extracting the de-identified data that includes the personal information of the individual from the event stream, and comprises using entity profiles to determine identified data that are included in the event stream that is de-identified using a pseudonym to protect the identified data;
• storing the de-identified data that includes the personal information of the individual in the distributed ledger;
• performing a re-identification operation on the de-identified data using entity identifier information that includes authentication factors, user profile attributes, user behavior factors, user mindset factors, information associated with various endpoint and edge devices, networks, resources;
• storing a record of the re-identification operation in the distributed ledger that includes an adaptive trust profile (ATP) of the individual comprising context of user behavior and associated risk factors;
• and
• performing risk analysis based on the ATP of the individual.

A system comprising:

• a processor;
• a data bus coupled to the processor;
• and
• a non-transitory, computer-readable storage medium embodying computer program code for managing re-identification of de-identified data utilizing a distributed ledger, the non-transitory, computer-readable storage medium being coupled to the data bus, the computer program code interacting with a plurality of computer operations and comprising instructions executable by the processor and configured for:
• de-identifying an event stream of one or more events associated with an individual, wherein de-identified data includes a pseudonym and personal information of an individual;
• extracting the de-identified data that includes the personal information of the individual from the event stream, and comprises using entity profiles to determine identified data that are included in the event stream that is de-identified using a pseudonym to protect the identified data;
• storing the de-identified data that includes the personal information of the individual in the distributed ledger;
• performing a re-identification operation on the de-identified data using entity identifier information that includes authentication factors, user profile attributes, user behavior factors, user mindset factors, information associated with various endpoint and edge devices, networks, resources;
• storing a record of the re-identification operation in the distributed ledger that includes an adaptive trust profile (ATP) of the individual comprising context of user behavior and associated risk factors;
• and
• performing risk analysis based on the ATP of the individual.