FieldShield Features and Benefits

 

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FieldShield Overview Features Technical Details GUI Platforms & Pricing Why It's Better Resources

IRI FieldShield helps you adhere to both business rules and data privacy laws in a data-centric context.

Profile and protect database tables, flat files, and other sources at the column (field) level. Choose which columns remain clear as you secure the others with one or more supplied or custom data masking functions.

Consider some of the advantages of using FieldShield:

Feature
Benefits
Sensitive data discovery
Finds and classifies PII, PHI, and other data matching pattern and fuzzy search criteria in databases, files, and dark data sources.
Field-level protection
Protects faster and surer than other, bulk protection methods. Leaves non-sensitive data in its original format and available for regular processing. Even if one field is compromised, the others stay safe with their own protection (vs. breaches where one password exposes all).
Rich functional choices
More than a dozen categories of protection functions allow you to make security decisions on the nature of each datum and considerations like: security level, reversibility, ciphertext appearance, and speed.
Cross-platform executable and libraries
Deploys concealment and revelation widely and easily, through bulk/batch, real-time applications, or through stored (SQL) procedures (e.g., in-situ encryption).
Database- and file-agnostic
Secures data at source and endpoints across multiple DB platforms and file formats with the same product and metadata, and/or at the same time.
Random value lookups
Pseudonymizes PII using data from the same or third-party source(s) to provide realism, safety, and reversibility (optional).
Format-preserving encryption
Retains the look and feel of the original values, fooling hackers and enabling application and load testing while preserving referential integrity.
Cross-table masking rules
Defines, enforces, and re-uses protections for common-named tables and the data class libraries you've identified across the database(s). Preserves referential integrity because common start values get the same end values.
National ID (NID) masking
Saves research and design time in complying with de-identification requirements and local data privacy laws with standard and custom masks.
Hashing and tokenization
Validates the integrity, and improves the security, of encryption operations.
XML audit log file 
Verifies data privacy law compliance efforts and supports queries and reporting of all runtime details.
Re-ID Risk Scoring
Reports based on peer-reviewed quasi-identifier analysis help data governance teams comply with the HIPAA Expert Determination Method rule and FERPA requirements for non-reidentifiability.
Blurring and generalization
Anonymizes quasi-identifiers to reduce re-identification risk while retaining the data's research or marketing value.
Multi-source, multi-target
Saves protection design and execution time by protecting many different files and tables in the same job script and I/O pass. Consolidates multiple protections and authorizations in a single target, and thus reduces both throughput and data synchronization concerns; i.e., different people can reveal different fields from the same document.
Metadata interoperability
FieldShield shares the data and job definition 4GL of its parent CoSort SortCL program so that you can run data protection with data transformation, migration, and reporting in the same job script and I/O pass if you have a CoSort or Voracity license. You can also run and manage the open, self-documenting metdata outside IRI Workbench, and seamless team-share it through any source-code control system compatible with Eclipse (e.g., Git). AnalytIX DS and MIMB users can convert existing metadata in BI, CRM, DB, ETL, and modeling tools into the data definition file (.DDF) format FieldShield uses to mask data used in those apps. 
User-friendly job design options
Six different ways to create masking jobs in the same Eclipse front-end allows users to work in the style they prefer while reducing their learning curve in discovering and protecting data in disparate sources. Data layouts and field functions are self-documenting so data architects, DBAs, and compliance teams can easily design, modify, and verify jobs. The free Eclipse UI (IRI Workbench) eliminates the complexity and cost of proprietary design studios and DB-vendor-specific column encryption.

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