IRI FieldShield vs. IRI DarkShield

IRI FieldShield® offers an effective and cost-efficient solution for the discovery and de-identification of sensitive data, such as PII, PHI, and PAN, across both structured and semi-structured data sources. With its user-friendly interface built on an Eclipse-based design platform, FieldShield allows users to perform classification, profiling, scanning, and static masking of data at rest. Additionally, the FieldShield SDK or a proxy-based application can be utilized for dynamic data masking, ensuring the security of data in motion. Typically, the process for masking relational databases and various flat file formats, including CSV, Excel, LDIF, and COBOL, involves a centralized classification system that enables global searches and automated masking techniques. This is achieved through methods like encryption, pseudonymization, and redaction, all designed to maintain realism and referential integrity in both production and testing environments. FieldShield can be employed to create sanitized test data, mitigate the impact of data breaches, or ensure compliance with regulations such as GDPR, HIPAA, PCI, PDPA, and PCI-DSS, among others. Users can perform audits through both machine-readable and human-readable search reports, job logs, and re-identification risk assessments. Furthermore, it offers the flexibility to mask data during the mapping process, and its capabilities can also be integrated into various IRI Voracity ETL functions, including federation, migration, replication, subsetting, and analytical operations. For database clones, FieldShield can be executed in conjunction with platforms like Windocks, Actifio, or Commvault, and it can even be triggered from CI/CD pipelines and applications, ensuring versatility in data management practices.

IRI DarkShield employs a variety of search methodologies and numerous data masking techniques to anonymize sensitive information across both semi-structured and unstructured data sources throughout an organization. The outputs of these searches can be utilized to either provide, eliminate, or rectify personally identifiable information (PII), allowing for compliance with GDPR requirements regarding data portability and the right to be forgotten, either individually or in tandem. Configurations, logging, and execution of DarkShield tasks can be managed through IRI Workbench or a RESTful RPC (web services) API, enabling encryption, redaction, blurring, and other modifications to the identified PII across diverse formats including: * NoSQL and relational databases * PDF documents * Parquet files * JSON, XML, and CSV formats * Microsoft Excel and Word documents * Image files such as BMP, DICOM, GIF, JPG, and TIFF This process utilizes techniques such as pattern recognition, dictionary matching, fuzzy searching, named entity identification, path filtering, and bounding box analysis for images. Furthermore, the search results from DarkShield can be visualized in its own interactive dashboard or integrated into analytic and visualization tools like Datadog or Splunk ES for enhanced monitoring. Moreover, tools like the Splunk Adaptive Response Framework or Phantom Playbook can automate responses based on this data. IRI DarkShield represents a significant advancement in the field of unstructured data protection, offering remarkable speed, user-friendliness, and cost-effectiveness. This innovative solution streamlines, multi-threads, and consolidates the search, extraction, and remediation of PII across various formats and directories, whether on local networks or cloud environments, and is compatible with Windows, Linux, and macOS systems. By simplifying the management of sensitive data, DarkShield empowers organizations to better safeguard their information assets.