Sensitive data is no longer confined to relational databases. Modern applications, cloud platforms and analytics environments are increasingly storing personal information in NoSQL systems as well. If data protection measures are not extended to these environments, security and compliance gaps can quickly arise.
Personal information can be hidden in log data, JSON documents, event streams or key-value structures. As a result, organisations can easily lose track of where sensitive data is stored and who has access to it. This makes it difficult to implement data protection policies consistently and to meet requirements such as those of the GDPR.
IRI DarkShield helps organisations to identify, classify and mask sensitive data within structured, semi-structured and unstructured data. In addition to Cassandra, Elasticsearch and MongoDB, DarkShield also supports Splunk, Redis and Azure Cosmos DB. This enables the protection of personal data to be implemented across different platforms.
Typical challenges regarding data protection in NoSQL environments include a lack of transparency regarding sensitive data sets, inconsistent masking procedures and differing data protection mechanisms depending on the platform. Added to this are unprotected data in development, analytics and test environments, as well as the effort involved in complying with requirements under the GDPR, HIPAA or PCI DSS.
Traditional data masking approaches for relational databases are often insufficient for this purpose. NoSQL systems process dynamic and variably structured data. Organisations therefore require flexible solutions that can automatically identify sensitive information and apply data protection rules across various data sources.
IRI DarkShield offers features such as the detection of PII and PHI, static and dynamic data masking, as well as pseudonymisation, tokenisation, encryption and rule-based redaction. Protection can be applied to structured, semi-structured and unstructured data.
This enables organisations to consistently implement their data protection policies even in complex NoSQL environments, whilst continuing to use the data for analysis, development and testing. Modern data security does not stop at relational databases: particularly in distributed NoSQL systems, cross-platform PII protection is becoming a key factor for data protection, compliance and trust.
Efficiency meets experience: For more than four decades, our software solutions have been supporting companies in data management and data protection – technologically leading, reliable in productive use and applicable across all industries.
In use since 1978: Numerous well-known companies, service providers, financial institutions and state and federal authorities are among our long-standing customers.
Maximum compatibility: Our software supports both classic mainframe platforms (Fujitsu BS2000/OSD, IBM z/OS, z/VSE, z/Linux) and modern open system environments such as Linux, UNIX derivatives and Windows.