Big Data
This article demonstrates the use of IRI DarkShield to identify and remediate (mask) personally identifiable information (PII) and other sensitive data in MongoDB, Cassandra, and Elasticsearch databases. Read More
Data Masking/Protection
Quasi-identifiers, or indirect identifiers, are personal attributes that are true about, but not necessarily unique, to an individual. Examples are one’s age or date of birth, race, salary, educational attainment, occupation, marital status and zip code. Read More
Data Masking/Protection
Adding ‘random noise’ to data through blurring or perturbation is a data common anonymization requirement for researchers and marketers of protected health information (PHI) seeking to comply with the HIPAA Expert Determination Method security rule. Read More
Data Masking/Protection
Editor’s Note: Note that this article refers to older but still supported methods for obfuscating PII elements like dates of birth and ages in IRI FieldShield. Read More
Data Masking/Protection
It is a common mistake to refer to data masking and data encryption interchangeably to mean the same things. While field-level encryption is considered one of many possible “data masking” functions, we define data masking and encryption as technically distinct processes below. Read More
