{"id":12942,"date":"2019-06-20T16:35:13","date_gmt":"2019-06-20T20:35:13","guid":{"rendered":"http:\/\/www.iri.com\/blog\/?p=12942"},"modified":"2025-03-24T16:00:36","modified_gmt":"2025-03-24T20:00:36","slug":"right-to-erasure","status":"publish","type":"post","link":"https:\/\/www.iri.com\/blog\/data-protection\/right-to-erasure\/","title":{"rendered":"How to Support the Right to be Forgotten in IRI Data Masking Tools"},"content":{"rendered":"

Article 17<\/span><\/a> of the General Data Protection Regulation (GDPR<\/a>) stipulates the need to minimize aging data through deletion, as well as the ad hoc Right to Erasure, often referred to as the Right to be Forgotten. While the regulation specifies some requirements as to what controllers must do with data requested to be \u201cerased\u201d, it does not expressly define what the term erasure means. <\/span><\/p>\n

The California Consumer Protection Act (CCPA<\/a>), the Cayman Islands Data Protection Law (DPL<\/a>), the Digital Personal Data Protection (DPDP<\/a>) Act of India, and other international data privacy laws modeled after the GDPR also have a similar provision.<\/span><\/p>\n

This article describes methods in the IRI <\/span>static data masking<\/span><\/a> products that help you find, and then rectify (fix) or remove (erase), personally identifiable information (PII) in different <\/span>data sources<\/span><\/a>. All IRI \u2018shield\u2019 products are front-ended in the same Eclipse IDE called <\/span>IRI Workbench<\/span><\/a>.\u00a0<\/span>In fact, it is through Workbench that data collectors and processors subject to GDPR and similar laws can:<\/p>\n

    \n
  1. define (classify) PII specific to an individual, group, or any PII attributes in general<\/span><\/li>\n
  2. search and locate that PII in disparate sources to validate and fix it, helping comply with Article 16 (the Right to Rectification)<\/span><\/li>\n
  3. extract and provide (deliver) that data in various formats, helping comply with Article 20 (Data Portability)<\/span><\/li>\n
  4. delete or remove PII ad hoc from individual files or tables, or en masse across multiple sources through a multi-source wizard applying the erasure function to a data class; or,<\/span><\/li>\n
  5. Otherwise mask or de-identify PII with other obfuscation and anonymization functions like encryption, pseudonymization, character\/blackout redaction, hashing, blurring, etc.<\/span><\/li>\n<\/ol>\n

    There are three different product avenues for complying with the <\/span>regulation<\/span><\/a> in IRI Workbench:<\/span>
    \n<\/span><\/p>\n

      \n
    1. 1NF structured databases and flat files through <\/span>IRI FieldShield<\/span><\/a><\/li>\n
    2. semi-structured files, plus unstructured text, document, databases (RDB or NoSQL), and image files through <\/span>IRI DarkShield<\/span><\/a><\/li>\n
    3. Excel spreadsheets through <\/span>IRI CellShield EE<\/span><\/a>.\u00a0<\/span>1<\/sup><\/a><\/span><\/span><\/li>\n<\/ol>\n


      \nPII Erasure in Structured Data Sources<\/b><\/h3>\n

      Two of the <\/span>many<\/span><\/a> data masking methods in FieldShield can be used to comply with an erasure request for PII stored in relational databases and sequential (flat) files. Some semi-structured instances of MongoDB, JSON, and mainframe files may require DarkShield instead.<\/span><\/p>\n

      The first option replaces the personally identifying information (PII) with an empty string. The second option deletes (removes) the entire record. <\/span><\/p>\n

      Replacement<\/b><\/h3>\n

      To replace a PII value with an empty string, you can use the same deletion function shown in the DarkShield rule dialog (see further down in the article). <\/span><\/p>\n

      Alternatively, you can also manually create an assignment rule to specify the empty string within the inside your FieldShield job script. The rule can then be applied to any field deemed by the controller to be PII. <\/span><\/p>\n

      For the assignment rule option, s<\/span>elect the <\/span>Assignment Expression<\/b> function\u00a0from the Masking menu inside the Data Rule dialog in IRI Workbench. Once the assignment expression builder opens, enter “” in the Expression field\u201d. When using this rule in a SortCL script, the field name will be replaced with <\/span><fieldName>=\u201d\u201d<\/span><\/i>. \u00a0<\/span><\/p>\n

      \"\"<\/a><\/p>\n

      Filter for the requestee\u2019s information using an <\/span>Include <\/b>statement where the search item is a unique identifier.<\/span><\/p>\n

      \"\"<\/a><\/p>\n

      This example script replaces six fields with an empty string where the IDNUMBER equals 12345678.<\/span><\/p>\n

      \"\"<\/a><\/p>\n

      Once the scripts are made for all of the sources with PII, the job can be reused by simply changing the identifier being searched for. For example, the IDNUMBER was changed below,<\/span><\/p>\n

      \"\"<\/a><\/p>\n

      Deletion<\/b><\/h3>\n

      The procedure for deleting a record will depend on the source type of the data. To delete a record in a database, use the <\/span>Delete <\/b>statement with a unique identifier field. Filter for the requester\u2019s information using an <\/span>Include <\/b>statement as above where the search item is a unique identifier.<\/span><\/p>\n

      \"\"<\/a><\/p>\n

      To delete from a flat file, use an <\/span>Omit<\/b> statement instead to overwrite the file with the same source information, which removes the requestee\u2019s information from that source.<\/span><\/p>\n

      \"\"<\/a><\/p>\n


      \nPII Erasure in Unstructured Files<\/b><\/h3>\n

      DarkShield provides a custom <\/span>Deletion Function <\/b>which can replace PII with an empty string, much like FieldShield\u2019s assignment function. It\u2019s simply a matter of creating the <\/span>Deletion Function<\/b> as a data rule from within the <\/span>Dark Data Discovery Wizard <\/span><\/i>while defining the search criteria, or from the separate <\/span>New Data Rule Wizard<\/span><\/i>.<\/span><\/p>\n

      \"\"<\/a><\/p>\n

      This function will then operate automatically on all instances of the specified PII for the requester wishing to be forgotten, as defined for him\/her\/them in the data class or data class group. <\/span><\/p>\n

      To find and erase PII belonging to the requester, it is necessary to create a Data Class composed of a set file lookup matcher containing the PII of the requester:<\/span><\/p>\n

      \"\"<\/a><\/p>\n

      The Data Class can then be associated with the Deletion Function through a Search Matcher:<\/span><\/p>\n

      \"\"<\/a><\/p>\n

      The search methods that can be associated with a given data class include:<\/span>
      \n<\/span><\/p>\n

        \n
      1. RegEx pattern matching<\/span><\/li>\n
      2. String matches to values in a lookup (set) file<\/span><\/li>\n
      3. Named-entity recognition (NER) models<\/span><\/li>\n
      4. Bounding boxes draws around fixed image areas <\/span><\/li>\n
      5. Facial detection and recognition<\/span><\/li>\n<\/ol>\n

        However, in the context of right to be erased requests, NER would not be applicable, and the bounding box would need that person\u2019s information to be in a fixed position within an image.<\/span><\/p>\n

        The search results can then be obtained by performing the <\/span>Search and Remediate Job <\/span><\/i>with the generated <\/span>.search <\/span><\/i>configuration file:<\/span><\/p>\n

        \"\"<\/a><\/p>\n

        Note that for PDFs the whitespace for where the original PII was located will be retained. For images, a black box redaction will be applied instead.<\/span><\/p>\n

         <\/p>\n

        PII Erasure in Excel Sheets<\/b><\/h3>\n

        The CellShield Enterprise Edition (EE) data masking tool for Excel spreadsheets uses the same <\/span>Dark Data Discovery<\/span><\/i> wizard in IRI Workbench to classify and find specific PII items, and the first three search methods as DarkShield above. At the end of the search process, a report on all the PII found in all the .xls and .xlsx files is also created in an Excel Interchange Format (.eif) file.<\/span><\/p>\n

        \"\"<\/a><\/p>\n

        The EIF file is an Excel-compatible sheet listing folder, file, sheet, and cell locations for every item of PII discovered LAN-wide. This helps you comply with GDPR articles 16 and 20, and stages compliance with article 17 via ad hoc or bulk erasure through a redaction function using space characters. Either can be invoked in a selector dialog tied to the same report sheet above:<\/span><\/p>\n

        \"\"<\/a><\/p>\n

        That dialog can also launch — or you can launch separately — the Intra-Cell Search (and masking) dialog, to specify deletion through redaction. For example:<\/span><\/p>\n

        \"\"<\/a><\/p>\n

        The intra-cell feature identifies the locations of the PII anywhere in a sheet and can erase it using a space-character to mask each string automatically:<\/span><\/p>\n

        \"\"<\/a><\/p>\n

        \"\"<\/a><\/p>\n

        Alternatively, now that all the rows with that person are found, you could choose to erase everything else in, or any other personally identifying parts of, those same rows as needed.<\/span><\/p>\n

        If you have questions about how you can use IRI data masking software to comply with the Right to Erasure, or other provisions of the GDPR, CCPA and similar data privacy laws, please email <\/span>info@iri.com<\/span><\/a> with details about your use case, and arrange a live demo with us <\/span>here<\/span><\/a>.<\/span><\/p>\n","protected":false},"excerpt":{"rendered":"

        Article 17 of the General Data Protection Regulation (GDPR) stipulates the need to minimize aging data through deletion, as well as the ad hoc Right to Erasure, often referred to as the Right to be Forgotten. While the regulation specifies some requirements as to what controllers must do with data requested to be \u201cerased\u201d, it<\/p>\n

        Read More<\/a><\/div>\n","protected":false},"author":101,"featured_media":12964,"comment_status":"open","ping_status":"open","sticky":false,"template":"","format":"standard","meta":{"_acf_changed":false,"_exactmetrics_skip_tracking":false,"_exactmetrics_sitenote_active":false,"_exactmetrics_sitenote_note":"","_exactmetrics_sitenote_category":0,"footnotes":""},"categories":[8,34],"tags":[1452,1215,1413,2055,14,2057,9,1219,1388,789,850,149,1417,1306,1416,2056,1415],"class_list":["post-12942","post","type-post","status-publish","format-standard","has-post-thumbnail","hentry","category-data-protection","category-business","tag-ccpa","tag-cellshield","tag-data-erasure","tag-data-erasure-under-gdpr","tag-data-masking","tag-data-masking-and-anonymization-techniques","tag-fieldshield","tag-gdpr","tag-iri-darkshield","tag-iri-voracity","tag-iri-workbench","tag-pii","tag-pii-deletion","tag-pii-masking","tag-right-to-be-forgotten","tag-right-to-delete-personal-data","tag-right-to-erasure"],"acf":[],"yoast_head":"\nHow to Support the Right to be Forgotten in IRI Data Masking Tools - IRI<\/title>\n<meta name=\"description\" content=\"General Data Protection Regulation (GDPR) Article 17 guarantees the Right to Erasure, or the Right to be Forgotten. Learn how to comply here.\" \/>\n<meta name=\"robots\" content=\"index, follow, max-snippet:-1, max-image-preview:large, max-video-preview:-1\" \/>\n<link rel=\"canonical\" href=\"https:\/\/www.iri.com\/blog\/data-protection\/right-to-erasure\/\" \/>\n<meta property=\"og:locale\" content=\"en_US\" \/>\n<meta property=\"og:type\" content=\"article\" \/>\n<meta property=\"og:title\" content=\"How to Support the Right to be Forgotten in IRI Data Masking Tools\" \/>\n<meta property=\"og:description\" content=\"General Data Protection Regulation (GDPR) Article 17 guarantees the Right to Erasure, or the Right to be Forgotten. 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