IRI DarkShield in Data Masking Tools Guide
Discover, Deliver & Delete PII
Find sensitive data in semi- or unstructured sources using multiple search techniques. Use the search results to simultaneously (or later) extract, redact, or fix the PII to comply with GDPR data portability, erasure, or rectification provisions.
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Local or Cloud Protection
Whether the PII is on your desktop, across your network, or in cloud straorge, the DarkShield data masking tool can protect it. DarkShield finds and masks PII and other sensitive information in multiple structured, semi-structured, and unstructured DB and file formats in multiple silos via GUI or API.
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Query and display DarkShield search and remediation results in its built-in, interactive dashboard. Or, use IRI CoSort or your RDB to analyze it. Or, export the log data and customize your visualizations in SIEM tools like Datadog or Splunk ES:
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DarkShield Benefits
- Separates or combines -- and saves for modification and reuse -- PII discovery, delivery, de-identification, and/or reporting jobs
- Supports multiple data masking functions, including deletion (erasure), encryption, hashing, pseudonymization, and randomization
- Leverages named-entity recognition (NER), machine-learning and natural language processing for finding named entities in context
- Allows lookup value, pattern definition, bounding box, and NER models to be combined and reused, consolidating searches and saving time
- Marries multiple right-to-be forgotten (GDPR) and data portability requests in find/fix operations, matching against specified or listed names
- Works across multiple drives, nodes, and threads for maximum search and remediation performance in volume
- Operates in the same Eclipse graphical design environment with IRI Voracity data governance and management jobs, CLI, or RPC API
- Produces machine readable search and masking logs, as well as custom browser-ready dashboards for actionable, filtered insights
- Features affordable licensing options (standalone, bundled, or free in IRI Voracity)
