Data Masking/Protection
IRI’s reputation in the healthcare industry expanded from its traditional roots in claims data processing in 2010, when it released IRI FieldShield to find and de-identify Protected Health Information (PHI) in flat files and relational databases in compliance with the HIPAA Safe Harbour and Expert Determination Method security rules. Read More
Data Masking/Protection
Abstract: With hundreds of thousands of medical imaging devices in use, DICOM is one of the most widely deployed healthcare messaging standards in the world; billions of DICOM images are currently in use for clinical care. Read More
Data Masking/Protection
One of the biggest concerns with releasing a dataset is the risk that a potential attacker can identify the owners of particular records. Even though masking or removing unique identifiers, like names and Social Security Numbers, can reduce that risk substantially, it may still not be enough. Read More
Big Data
The Internet of Things (IoT) continues to grow at an unbelievable rate, and creates tremendous benefits and opportunities for society. With it grows the demand for products and services that control, manage, and protect the massive amounts of data streaming from all those network-connected devices. Read More
Data Masking/Protection
This is an introduction to IRI CellShield. Subsequent blogs will demonstrate the different functions in CellShield: data masking, encryption, and pseudonymization. If you’re interested in finding, classifying, or masking PII in databases or flat files, check out IRI FieldShield. Read More