Data Masking/Protection
Abstract: IRI has partnered with Windocks to provide an on-demand, test-ready virtualized repository that delivers masked, subsetted or synthesized databases in seconds for #docker containers, conventional instances or workstations.
Big Data
Elasticsearch is a Java-based search engine that has an HTTP interface and stores its data in schema-free JSON documents. Unfortunately, a spate of costly and painful breaches of Personally Identifiable Information (PII) continue to plague online Elasticsearch databases:
Were all the PII or other sensitive information in these DBs masked however, successful hacks and development copies may not be problematic.
Data Masking/Protection
IRI Workbench users can connect to and manipulate the data in the underlying database in Salesforce using the DataDirect JDBC and ODBC drivers from Progress Software.
Data Masking/Protection
One of the primary uses of IRI FieldShield is to encrypt and decrypt sensitive data in database or flat-file columns. FieldShield relies on a passphrase to derive a symmetrical encryption key used at encryption and decryption time.
Data Masking/Protection
The Directory Data Class Search wizard in IRI Workbench (WB) matches data in structured files within one or more directories to configured data classes. The search process compares the matchers in the data classes with the data in those files to determine the best match, if any.
Big Data
Splunk Phantom is an orchestration, automation, and response technology for running “Playbooks” to respond to various conditions. Phantom connects to Splunk Enterprise using the Phantom App for Splunk, so that actions can be taken on knowledge derived from data indexed in Splunk.
Big Data
Finding and masking personally identifiable information (PII) in Snowflake® data warehouses works the same way in IRI FieldShield® or Voracity® installations as it does for other relational database sources.
Data Transformation
The Schema Data Class Search wizard in IRI Workbench (WB) can be used to match data in entire schemas to configured data classes. The search process compares the matchers in the data classes with the data to determine the best match, if any.
Data Masking/Protection
“Have you stopped speeding?” You could probably object to a leading question like this in court, but what happens when an important question with only a yes or no answer is solicited on a mandatory form, and the response becomes part of an actionable database record?
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.
