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<a href="../../../tutorial/08_no_code/" class="md-nav__link">
|
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<span class="md-ellipsis">
|
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No-code recognizers
|
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</span>
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</a>
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</li>
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<li class="md-nav__item">
|
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<a href="../../../tutorial/09_ad_hoc/" class="md-nav__link">
|
|
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<span class="md-ellipsis">
|
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Ad-hoc recognizers
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</span>
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</a>
|
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</li>
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<li class="md-nav__item">
|
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<a href="../../../tutorial/10_simple_anonymization/" class="md-nav__link">
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<span class="md-ellipsis">
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Simple anonymization
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</span>
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</a>
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</li>
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<li class="md-nav__item">
|
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<a href="../../../tutorial/11_custom_anonymization/" class="md-nav__link">
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<span class="md-ellipsis">
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Custom anonymization
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</span>
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</a>
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</li>
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<li class="md-nav__item">
|
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<a href="../../../tutorial/12_encryption/" class="md-nav__link">
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<span class="md-ellipsis">
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Encryption/Decryption
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</span>
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</a>
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</li>
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<li class="md-nav__item">
|
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<a href="../../../tutorial/13_allow_list/" class="md-nav__link">
|
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<span class="md-ellipsis">
|
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Allow-lists
|
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</span>
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</a>
|
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</li>
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</ul>
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</nav>
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</li>
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<li class="md-nav__item md-nav__item--nested">
|
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|
<input class="md-nav__toggle md-toggle " type="checkbox" id="__nav_3_4" >
|
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<label class="md-nav__link" for="__nav_3_4" id="__nav_3_4_label" tabindex="0">
|
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<span class="md-ellipsis">
|
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Text de-identification
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</span>
|
|
|
|
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|
|
<span class="md-nav__icon md-icon"></span>
|
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</label>
|
|
|
|
<nav class="md-nav" data-md-level="2" aria-labelledby="__nav_3_4_label" aria-expanded="false">
|
|
<label class="md-nav__title" for="__nav_3_4">
|
|
<span class="md-nav__icon md-icon"></span>
|
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|
|
Text de-identification
|
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|
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</label>
|
|
<ul class="md-nav__list" data-md-scrollfix>
|
|
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|
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<li class="md-nav__item">
|
|
<a href="../../../text_anonymization/" class="md-nav__link">
|
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|
|
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<span class="md-ellipsis">
|
|
|
|
|
|
Home
|
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|
|
</span>
|
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</a>
|
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</li>
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<li class="md-nav__item md-nav__item--nested">
|
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<input class="md-nav__toggle md-toggle " type="checkbox" id="__nav_3_4_2" >
|
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|
|
<label class="md-nav__link" for="__nav_3_4_2" id="__nav_3_4_2_label" tabindex="0">
|
|
|
|
|
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|
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<span class="md-ellipsis">
|
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|
|
Presidio Analyzer
|
|
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|
|
|
</span>
|
|
|
|
|
|
|
|
<span class="md-nav__icon md-icon"></span>
|
|
</label>
|
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|
|
<nav class="md-nav" data-md-level="3" aria-labelledby="__nav_3_4_2_label" aria-expanded="false">
|
|
<label class="md-nav__title" for="__nav_3_4_2">
|
|
<span class="md-nav__icon md-icon"></span>
|
|
|
|
|
|
Presidio Analyzer
|
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|
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</label>
|
|
<ul class="md-nav__list" data-md-scrollfix>
|
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<li class="md-nav__item">
|
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<a href="../../../analyzer/" class="md-nav__link">
|
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|
|
|
|
|
<span class="md-ellipsis">
|
|
|
|
|
|
Home
|
|
|
|
|
|
</span>
|
|
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|
|
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</a>
|
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</li>
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<li class="md-nav__item md-nav__item--nested">
|
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|
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|
|
<input class="md-nav__toggle md-toggle " type="checkbox" id="__nav_3_4_2_2" >
|
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|
|
|
<label class="md-nav__link" for="__nav_3_4_2_2" id="__nav_3_4_2_2_label" tabindex="0">
|
|
|
|
|
|
|
|
<span class="md-ellipsis">
|
|
|
|
|
|
Developing PII recognizers
|
|
|
|
|
|
</span>
|
|
|
|
|
|
|
|
<span class="md-nav__icon md-icon"></span>
|
|
</label>
|
|
|
|
<nav class="md-nav" data-md-level="4" aria-labelledby="__nav_3_4_2_2_label" aria-expanded="false">
|
|
<label class="md-nav__title" for="__nav_3_4_2_2">
|
|
<span class="md-nav__icon md-icon"></span>
|
|
|
|
|
|
Developing PII recognizers
|
|
|
|
</label>
|
|
<ul class="md-nav__list" data-md-scrollfix>
|
|
|
|
|
|
|
|
|
|
|
|
|
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|
|
<li class="md-nav__item">
|
|
<a href="../../../analyzer/adding_recognizers/" class="md-nav__link">
|
|
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|
|
|
|
|
<span class="md-ellipsis">
|
|
|
|
|
|
Tutorial
|
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|
</span>
|
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</a>
|
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</li>
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<li class="md-nav__item">
|
|
<a href="../../../analyzer/developing_recognizers/" class="md-nav__link">
|
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|
|
<span class="md-ellipsis">
|
|
|
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|
|
Best practices
|
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</span>
|
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</a>
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</li>
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<li class="md-nav__item">
|
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<a href="../../../analyzer/recognizer_registry_provider/" class="md-nav__link">
|
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|
|
<span class="md-ellipsis">
|
|
|
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|
|
Recognizer registry from file
|
|
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|
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</span>
|
|
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|
|
|
|
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</a>
|
|
</li>
|
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</ul>
|
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</nav>
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</li>
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<li class="md-nav__item">
|
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<a href="../../../analyzer/filtering_by_country/" class="md-nav__link">
|
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|
|
<span class="md-ellipsis">
|
|
|
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|
|
Filtering recognizers by country
|
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|
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</span>
|
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</a>
|
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</li>
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<li class="md-nav__item">
|
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<a href="../../../analyzer/languages/" class="md-nav__link">
|
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|
|
<span class="md-ellipsis">
|
|
|
|
|
|
Multi-language support
|
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|
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</span>
|
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|
|
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</a>
|
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</li>
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<li class="md-nav__item md-nav__item--nested">
|
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|
|
<input class="md-nav__toggle md-toggle " type="checkbox" id="__nav_3_4_2_5" >
|
|
|
|
|
|
<label class="md-nav__link" for="__nav_3_4_2_5" id="__nav_3_4_2_5_label" tabindex="0">
|
|
|
|
|
|
|
|
<span class="md-ellipsis">
|
|
|
|
|
|
Customizing the NLP model
|
|
|
|
|
|
</span>
|
|
|
|
|
|
|
|
<span class="md-nav__icon md-icon"></span>
|
|
</label>
|
|
|
|
<nav class="md-nav" data-md-level="4" aria-labelledby="__nav_3_4_2_5_label" aria-expanded="false">
|
|
<label class="md-nav__title" for="__nav_3_4_2_5">
|
|
<span class="md-nav__icon md-icon"></span>
|
|
|
|
|
|
Customizing the NLP model
|
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|
|
</label>
|
|
<ul class="md-nav__list" data-md-scrollfix>
|
|
|
|
|
|
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|
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<li class="md-nav__item">
|
|
<a href="../../../analyzer/customizing_nlp_models/" class="md-nav__link">
|
|
|
|
|
|
|
|
<span class="md-ellipsis">
|
|
|
|
|
|
Home
|
|
|
|
|
|
</span>
|
|
|
|
|
|
|
|
</a>
|
|
</li>
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<li class="md-nav__item">
|
|
<a href="../../../analyzer/nlp_engines/spacy_stanza/" class="md-nav__link">
|
|
|
|
|
|
|
|
<span class="md-ellipsis">
|
|
|
|
|
|
Spacy/Stanza
|
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|
|
|
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</span>
|
|
|
|
|
|
|
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</a>
|
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</li>
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<li class="md-nav__item">
|
|
<a href="../../../analyzer/nlp_engines/transformers/" class="md-nav__link">
|
|
|
|
|
|
|
|
<span class="md-ellipsis">
|
|
|
|
|
|
Transformers
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|
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</span>
|
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|
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|
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</a>
|
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</li>
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<li class="md-nav__item">
|
|
<a href="../../../analyzer/nlp_engines/gpu_usage/" class="md-nav__link">
|
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|
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|
|
<span class="md-ellipsis">
|
|
|
|
|
|
GPU Acceleration
|
|
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</span>
|
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|
|
|
</a>
|
|
</li>
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</ul>
|
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</nav>
|
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</li>
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<li class="md-nav__item">
|
|
<a href="../../../analyzer/decision_process/" class="md-nav__link">
|
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|
|
|
|
|
|
<span class="md-ellipsis">
|
|
|
|
|
|
Tracing the decision process
|
|
|
|
|
|
</span>
|
|
|
|
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|
|
|
</a>
|
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</li>
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|
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<li class="md-nav__item">
|
|
<a href="../../../analyzer/analyzer_engine_provider/" class="md-nav__link">
|
|
|
|
|
|
|
|
<span class="md-ellipsis">
|
|
|
|
|
|
Configure from file
|
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|
|
|
|
</span>
|
|
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|
|
|
|
</a>
|
|
</li>
|
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|
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</ul>
|
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</nav>
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</li>
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|
<li class="md-nav__item md-nav__item--nested">
|
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|
|
|
|
|
|
<input class="md-nav__toggle md-toggle " type="checkbox" id="__nav_3_4_3" >
|
|
|
|
|
|
<label class="md-nav__link" for="__nav_3_4_3" id="__nav_3_4_3_label" tabindex="0">
|
|
|
|
|
|
|
|
<span class="md-ellipsis">
|
|
|
|
|
|
Presidio Anonymizer
|
|
|
|
|
|
</span>
|
|
|
|
|
|
|
|
<span class="md-nav__icon md-icon"></span>
|
|
</label>
|
|
|
|
<nav class="md-nav" data-md-level="3" aria-labelledby="__nav_3_4_3_label" aria-expanded="false">
|
|
<label class="md-nav__title" for="__nav_3_4_3">
|
|
<span class="md-nav__icon md-icon"></span>
|
|
|
|
|
|
Presidio Anonymizer
|
|
|
|
</label>
|
|
<ul class="md-nav__list" data-md-scrollfix>
|
|
|
|
|
|
|
|
|
|
|
|
|
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|
|
<li class="md-nav__item">
|
|
<a href="../../../anonymizer/" class="md-nav__link">
|
|
|
|
|
|
|
|
<span class="md-ellipsis">
|
|
|
|
|
|
Home
|
|
|
|
|
|
</span>
|
|
|
|
|
|
|
|
</a>
|
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</li>
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<li class="md-nav__item">
|
|
<a href="../../../anonymizer/adding_operators/" class="md-nav__link">
|
|
|
|
|
|
|
|
<span class="md-ellipsis">
|
|
|
|
|
|
Developing PII anonymization operators
|
|
|
|
|
|
</span>
|
|
|
|
|
|
|
|
</a>
|
|
</li>
|
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</ul>
|
|
</nav>
|
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</li>
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|
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</ul>
|
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</nav>
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</li>
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<li class="md-nav__item">
|
|
<a href="../../../ahds_integration/" class="md-nav__link">
|
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|
|
|
|
|
|
<span class="md-ellipsis">
|
|
|
|
|
|
Azure Health Data Services de-identification service integration
|
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|
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</span>
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</a>
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</li>
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<li class="md-nav__item md-nav__item--nested">
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<input class="md-nav__toggle md-toggle " type="checkbox" id="__nav_6_2" >
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<label class="md-nav__link" for="__nav_6_2" id="__nav_6_2_label" tabindex="0">
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Text
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<span class="md-nav__icon md-icon"></span>
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</label>
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<nav class="md-nav" data-md-level="2" aria-labelledby="__nav_6_2_label" aria-expanded="false">
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<label class="md-nav__title" for="__nav_6_2">
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<a href="../presidio_notebook/" class="md-nav__link">
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<span class="md-ellipsis">
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Presidio Basic Usage Notebook
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</span>
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<li class="md-nav__item">
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<a href="../customizing_presidio_analyzer/" class="md-nav__link">
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<span class="md-ellipsis">
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Customizing Presidio Analyzer
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</span>
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</a>
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<li class="md-nav__item">
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<a href="../ner_model_configuration/" class="md-nav__link">
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<span class="md-ellipsis">
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Configuring The NLP engine
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</span>
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</a>
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</li>
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<li class="md-nav__item">
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<a href="../encrypt_decrypt/" class="md-nav__link">
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<span class="md-ellipsis">
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Encrypting and Decrypting identified entities
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</span>
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</a>
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<li class="md-nav__item">
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<a href="../getting_entity_values/" class="md-nav__link">
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<span class="md-ellipsis">
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Getting the identified entity value using a custom Operator
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</span>
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</a>
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</li>
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<li class="md-nav__item">
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<a href="../Anonymizing%20known%20values/" class="md-nav__link">
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<span class="md-ellipsis">
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Anonymizing known values
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</span>
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</a>
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</li>
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<li class="md-nav__item">
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<a href="../keep_entities/" class="md-nav__link">
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<span class="md-ellipsis">
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Keeping some entities from being anonymized
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</span>
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</a>
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</li>
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<li class="md-nav__item">
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<a href="../integrating_with_external_services/" class="md-nav__link">
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<span class="md-ellipsis">
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Integrating with external services
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</span>
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</a>
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</li>
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<li class="md-nav__item">
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<a href="https://github.com/data-privacy-stack/presidio/blob/main/docs/samples/python/example_remote_recognizer.py" class="md-nav__link">
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<span class="md-ellipsis">
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Remote Recognizer
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</span>
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</a>
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</li>
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<li class="md-nav__item">
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<a href="../text_analytics/" class="md-nav__link">
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<span class="md-ellipsis">
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Azure AI Language as a Remote Recognizer
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</span>
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</a>
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<a href="../ahds/" class="md-nav__link">
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<span class="md-ellipsis">
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Azure Health DataServices De-identification as a Remote Recognizer
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</span>
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</a>
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<a href="https://github.com/data-privacy-stack/presidio/blob/main/docs/samples/python/flair_recognizer.py" class="md-nav__link">
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<span class="md-ellipsis">
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Using Flair as an external PII model
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</span>
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</a>
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</li>
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<li class="md-nav__item">
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<a href="https://github.com/data-privacy-stack/presidio/blob/main/docs/samples/python/span_marker_recognizer.py" class="md-nav__link">
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<span class="md-ellipsis">
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Using Span Marker as an external PII model
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</span>
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</a>
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</li>
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<li class="md-nav__item">
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<a href="../transformers_recognizer/" class="md-nav__link">
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<span class="md-ellipsis">
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Using Transformers as an external PII model
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</span>
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</a>
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</li>
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<li class="md-nav__item">
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<a href="../gliner/" class="md-nav__link">
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<span class="md-ellipsis">
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Using GLiNER as an external PII model
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</span>
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</a>
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</li>
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<li class="md-nav__item">
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<a href="../pseudonymization/" class="md-nav__link">
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<span class="md-ellipsis">
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Pseudonymization (replace PII values using mappings)
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</span>
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</a>
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</li>
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<li class="md-nav__item">
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<a href="https://github.com/data-privacy-stack/presidio/blob/main/docs/samples/python/example_custom_lambda_anonymizer.py" class="md-nav__link">
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<span class="md-ellipsis">
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Passing a lambda as a Presidio anonymizer using Faker
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</span>
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</a>
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</li>
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<li class="md-nav__item">
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<a href="../synth_data_with_openai/" class="md-nav__link">
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<span class="md-ellipsis">
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Synthetic data generation with OpenAI
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</span>
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</a>
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</li>
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<li class="md-nav__item">
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<a href="../no_code_config/" class="md-nav__link">
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<span class="md-ellipsis">
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YAML based no-code configuration
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</span>
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</a>
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</li>
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</ul>
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</nav>
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<li class="md-nav__item md-nav__item--active md-nav__item--nested">
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<input class="md-nav__toggle md-toggle " type="checkbox" id="__nav_6_3" checked>
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<label class="md-nav__link" for="__nav_6_3" id="__nav_6_3_label" tabindex="0">
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<span class="md-ellipsis">
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Data
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</span>
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<span class="md-nav__icon md-icon"></span>
|
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</label>
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<nav class="md-nav" data-md-level="2" aria-labelledby="__nav_6_3_label" aria-expanded="true">
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<label class="md-nav__title" for="__nav_6_3">
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<span class="md-nav__icon md-icon"></span>
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Data
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</label>
|
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<ul class="md-nav__list" data-md-scrollfix>
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<li class="md-nav__item">
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<a href="../batch_processing/" class="md-nav__link">
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<span class="md-ellipsis">
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Analyzing structured / semi-structured data in batch
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</span>
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</a>
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</li>
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<li class="md-nav__item md-nav__item--active">
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<label class="md-nav__link md-nav__link--active" for="__toc">
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<span class="md-ellipsis">
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Presidio Structured Basic Usage Notebook
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</span>
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<span class="md-nav__icon md-icon"></span>
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</label>
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<a href="././" class="md-nav__link md-nav__link--active">
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<span class="md-ellipsis">
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Presidio Structured Basic Usage Notebook
|
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</span>
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</a>
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<nav class="md-nav md-nav--secondary" aria-label="On this page">
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<label class="md-nav__title" for="__toc">
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<span class="md-nav__icon md-icon"></span>
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On this page
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</label>
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<ul class="md-nav__list" data-md-component="toc" data-md-scrollfix>
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|
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<li class="md-nav__item">
|
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<a href="#path-to-notebook-httpswwwgithubcomdata-privacy-stackpresidioblobmaindocssamplespythonexample_structuredipynb" class="md-nav__link">
|
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<span class="md-ellipsis">
|
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<span class="md-typeset">
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Path to notebook: https://www.github.com/data-privacy-stack/presidio/blob/main/docs/samples/python/example_structured.ipynb
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</span>
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</span>
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</a>
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</li>
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<li class="md-nav__item">
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<a href="#loading-in-data" class="md-nav__link">
|
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<span class="md-ellipsis">
|
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<span class="md-typeset">
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Loading in data
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</span>
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</span>
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</a>
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</li>
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<li class="md-nav__item">
|
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<a href="#tabular-csv-data-defining-generating-tabular-analysis-anonymization" class="md-nav__link">
|
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<span class="md-ellipsis">
|
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<span class="md-typeset">
|
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Tabular (csv) data: defining & generating tabular analysis, anonymization.
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</span>
|
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</span>
|
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</a>
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<nav class="md-nav" aria-label="Tabular (csv) data: defining & generating tabular analysis, anonymization.">
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<ul class="md-nav__list">
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<li class="md-nav__item">
|
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<a href="#we-can-also-define-operators-using-operatorconfig-similar-as-to-the-anonymizerengine" class="md-nav__link">
|
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<span class="md-ellipsis">
|
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<span class="md-typeset">
|
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We can also define operators using OperatorConfig similar as to the AnonymizerEngine:
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</span>
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</span>
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</a>
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</li>
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</ul>
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</nav>
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</li>
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<li class="md-nav__item">
|
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<a href="#semi-structured-json-data-simple-and-complex-analysis-anonymization" class="md-nav__link">
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<span class="md-ellipsis">
|
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<span class="md-typeset">
|
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Semi-structured (JSON) data: simple and complex analysis, anonymization
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</span>
|
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</span>
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</a>
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</li>
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</ul>
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</nav>
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</li>
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<li class="md-nav__item">
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<a href="https://github.com/data-privacy-stack/presidio/blob/main/docs/samples/python/process_csv_file.py" class="md-nav__link">
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<span class="md-ellipsis">
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Analyze and Anonymize CSV file
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</span>
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</a>
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</li>
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</ul>
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</nav>
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<li class="md-nav__item md-nav__item--nested">
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<input class="md-nav__toggle md-toggle " type="checkbox" id="__nav_6_4" >
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<label class="md-nav__link" for="__nav_6_4" id="__nav_6_4_label" tabindex="0">
|
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<span class="md-ellipsis">
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Images
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</span>
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<span class="md-nav__icon md-icon"></span>
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</label>
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<nav class="md-nav" data-md-level="2" aria-labelledby="__nav_6_4_label" aria-expanded="false">
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<label class="md-nav__title" for="__nav_6_4">
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<span class="md-nav__icon md-icon"></span>
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Images
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</label>
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<ul class="md-nav__list" data-md-scrollfix>
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<li class="md-nav__item">
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<a href="../example_dicom_image_redactor/" class="md-nav__link">
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<span class="md-ellipsis">
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Redacting Text PII from DICOM images
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</span>
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</a>
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</li>
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<li class="md-nav__item">
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<a href="../image_redaction_allow_list_approach/" class="md-nav__link">
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<span class="md-ellipsis">
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Using an allow list with image redaction
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</span>
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</a>
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<li class="md-nav__item">
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<a href="../plot_custom_bboxes/" class="md-nav__link">
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<span class="md-ellipsis">
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Plot custom bounding boxes
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</span>
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</a>
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<li class="md-nav__item">
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<a href="../example_dicom_redactor_evaluation/" class="md-nav__link">
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<span class="md-ellipsis">
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Example DICOM redaction evaluation
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</span>
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</a>
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</ul>
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</nav>
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<li class="md-nav__item md-nav__item--nested">
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<input class="md-nav__toggle md-toggle " type="checkbox" id="__nav_6_5" >
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<label class="md-nav__link" for="__nav_6_5" id="__nav_6_5_label" tabindex="0">
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<span class="md-ellipsis">
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PDF
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</span>
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<span class="md-nav__icon md-icon"></span>
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</label>
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<nav class="md-nav" data-md-level="2" aria-labelledby="__nav_6_5_label" aria-expanded="false">
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<label class="md-nav__title" for="__nav_6_5">
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<span class="md-nav__icon md-icon"></span>
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PDF
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</label>
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<ul class="md-nav__list" data-md-scrollfix>
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<li class="md-nav__item">
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<a href="../example_pdf_annotation/" class="md-nav__link">
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<span class="md-ellipsis">
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Annotating PII in a PDF
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</span>
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</a>
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</nav>
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<li class="md-nav__item md-nav__item--nested">
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<input class="md-nav__toggle md-toggle " type="checkbox" id="__nav_6_6" >
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<label class="md-nav__link" for="__nav_6_6" id="__nav_6_6_label" tabindex="0">
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<span class="md-ellipsis">
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Deployment
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</span>
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<span class="md-nav__icon md-icon"></span>
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</label>
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<nav class="md-nav" data-md-level="2" aria-labelledby="__nav_6_6_label" aria-expanded="false">
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<label class="md-nav__title" for="__nav_6_6">
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<span class="md-nav__icon md-icon"></span>
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Deployment
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</label>
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<ul class="md-nav__list" data-md-scrollfix>
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<li class="md-nav__item">
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<a href="../../deployments/app-service/" class="md-nav__link">
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<span class="md-ellipsis">
|
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Presidio with App Service
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</span>
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</a>
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</li>
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<li class="md-nav__item">
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<a href="../../deployments/k8s/" class="md-nav__link">
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<span class="md-ellipsis">
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Presidio with Kubernetes
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</span>
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</a>
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</li>
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<li class="md-nav__item">
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<a href="../../deployments/spark/" class="md-nav__link">
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<span class="md-ellipsis">
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Presidio with Spark
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</span>
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</a>
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</li>
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<li class="md-nav__item">
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<a href="../../fabric/" class="md-nav__link">
|
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<span class="md-ellipsis">
|
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Presidio with Fabric
|
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</span>
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</a>
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</li>
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<li class="md-nav__item">
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<a href="../../deployments/redacting-telemetry/" class="md-nav__link">
|
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<span class="md-ellipsis">
|
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Redacting Telemetry with Presidio
|
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</span>
|
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</a>
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</li>
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<li class="md-nav__item md-nav__item--nested">
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<input class="md-nav__toggle md-toggle " type="checkbox" id="__nav_6_6_6" >
|
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<label class="md-nav__link" for="__nav_6_6_6" id="__nav_6_6_6_label" tabindex="0">
|
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<span class="md-ellipsis">
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Azure Data Factory
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</span>
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<span class="md-nav__icon md-icon"></span>
|
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</label>
|
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<nav class="md-nav" data-md-level="3" aria-labelledby="__nav_6_6_6_label" aria-expanded="false">
|
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<label class="md-nav__title" for="__nav_6_6_6">
|
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<span class="md-nav__icon md-icon"></span>
|
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Azure Data Factory
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</label>
|
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<ul class="md-nav__list" data-md-scrollfix>
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<li class="md-nav__item">
|
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<a href="../../deployments/data-factory/presidio-data-factory/" class="md-nav__link">
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<span class="md-ellipsis">
|
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ETL using AppService/Databricks
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</span>
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</a>
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</li>
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<li class="md-nav__item">
|
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<a href="../../deployments/data-factory/presidio-data-factory-template-gallery-http/" class="md-nav__link">
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|
|
<span class="md-ellipsis">
|
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|
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Add Presidio as an HTTP service to your Azure Data Factory
|
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</span>
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</a>
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</li>
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<li class="md-nav__item">
|
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<a href="../../deployments/data-factory/presidio-data-factory-template-gallery-databricks/" class="md-nav__link">
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<span class="md-ellipsis">
|
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|
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Add Presidio on Databricks to your Azure Data Factory
|
|
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</span>
|
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</a>
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</li>
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</ul>
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</nav>
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</li>
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<li class="md-nav__item">
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<a href="../../docker/litellm/" class="md-nav__link">
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<span class="md-ellipsis">
|
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PII Masking LLM calls using LiteLLM proxy
|
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</span>
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</a>
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</li>
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</ul>
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</nav>
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</li>
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<li class="md-nav__item md-nav__item--nested">
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<input class="md-nav__toggle md-toggle " type="checkbox" id="__nav_6_7" >
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<label class="md-nav__link" for="__nav_6_7" id="__nav_6_7_label" tabindex="0">
|
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<span class="md-ellipsis">
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Demo app
|
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</span>
|
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<span class="md-nav__icon md-icon"></span>
|
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</label>
|
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<nav class="md-nav" data-md-level="2" aria-labelledby="__nav_6_7_label" aria-expanded="false">
|
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<label class="md-nav__title" for="__nav_6_7">
|
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<span class="md-nav__icon md-icon"></span>
|
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Demo app
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</label>
|
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<ul class="md-nav__list" data-md-scrollfix>
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<li class="md-nav__item">
|
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<a href="../streamlit/" class="md-nav__link">
|
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|
|
<span class="md-ellipsis">
|
|
|
|
|
|
Create a simple demo app using Streamlit
|
|
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|
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</span>
|
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|
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</a>
|
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</li>
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</ul>
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</nav>
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</li>
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</ul>
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</nav>
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</li>
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</ul>
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</nav>
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</div>
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</div>
|
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</div>
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<div class="md-sidebar md-sidebar--secondary" data-md-component="sidebar" data-md-type="toc" >
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<div class="md-sidebar__scrollwrap">
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<input class="md-nav__toggle md-toggle" type="checkbox" id="__toc">
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<div class="md-sidebar-button__wrapper">
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<label class="md-sidebar-button" for="__toc"></label>
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</div>
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<div class="md-sidebar__inner">
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<nav class="md-nav md-nav--secondary" aria-label="On this page">
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<label class="md-nav__title" for="__toc">
|
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<span class="md-nav__icon md-icon"></span>
|
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On this page
|
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</label>
|
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<ul class="md-nav__list" data-md-component="toc" data-md-scrollfix>
|
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|
|
<li class="md-nav__item">
|
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<a href="#path-to-notebook-httpswwwgithubcomdata-privacy-stackpresidioblobmaindocssamplespythonexample_structuredipynb" class="md-nav__link">
|
|
<span class="md-ellipsis">
|
|
<span class="md-typeset">
|
|
Path to notebook: https://www.github.com/data-privacy-stack/presidio/blob/main/docs/samples/python/example_structured.ipynb
|
|
</span>
|
|
</span>
|
|
</a>
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</li>
|
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|
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<li class="md-nav__item">
|
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<a href="#loading-in-data" class="md-nav__link">
|
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<span class="md-ellipsis">
|
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<span class="md-typeset">
|
|
Loading in data
|
|
</span>
|
|
</span>
|
|
</a>
|
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|
|
</li>
|
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|
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<li class="md-nav__item">
|
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<a href="#tabular-csv-data-defining-generating-tabular-analysis-anonymization" class="md-nav__link">
|
|
<span class="md-ellipsis">
|
|
<span class="md-typeset">
|
|
Tabular (csv) data: defining & generating tabular analysis, anonymization.
|
|
</span>
|
|
</span>
|
|
</a>
|
|
|
|
<nav class="md-nav" aria-label="Tabular (csv) data: defining & generating tabular analysis, anonymization.">
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<ul class="md-nav__list">
|
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|
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<li class="md-nav__item">
|
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<a href="#we-can-also-define-operators-using-operatorconfig-similar-as-to-the-anonymizerengine" class="md-nav__link">
|
|
<span class="md-ellipsis">
|
|
<span class="md-typeset">
|
|
We can also define operators using OperatorConfig similar as to the AnonymizerEngine:
|
|
</span>
|
|
</span>
|
|
</a>
|
|
|
|
</li>
|
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|
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</ul>
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|
</nav>
|
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|
</li>
|
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|
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<li class="md-nav__item">
|
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<a href="#semi-structured-json-data-simple-and-complex-analysis-anonymization" class="md-nav__link">
|
|
<span class="md-ellipsis">
|
|
<span class="md-typeset">
|
|
Semi-structured (JSON) data: simple and complex analysis, anonymization
|
|
</span>
|
|
</span>
|
|
</a>
|
|
|
|
</li>
|
|
|
|
</ul>
|
|
|
|
</nav>
|
|
</div>
|
|
</div>
|
|
</div>
|
|
|
|
|
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|
|
<div class="md-content" data-md-component="content">
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|
|
|
<article class="md-content__inner md-typeset">
|
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<h1 id="__skip">Example structured</h1>
|
|
|
|
<h6 id="path-to-notebook-httpswwwgithubcomdata-privacy-stackpresidioblobmaindocssamplespythonexample_structuredipynb">Path to notebook: <a href="https://www.github.com/data-privacy-stack/presidio/blob/main/docs/samples/python/example_structured.ipynb">https://www.github.com/data-privacy-stack/presidio/blob/main/docs/samples/python/example_structured.ipynb</a></h6>
|
|
<div class="highlight"><pre><span></span><code><span class="kn">from</span><span class="w"> </span><span class="nn">presidio_structured</span><span class="w"> </span><span class="kn">import</span> <span class="n">StructuredEngine</span><span class="p">,</span> <span class="n">JsonAnalysisBuilder</span><span class="p">,</span> <span class="n">PandasAnalysisBuilder</span><span class="p">,</span> <span class="n">StructuredAnalysis</span><span class="p">,</span> <span class="n">CsvReader</span><span class="p">,</span> <span class="n">JsonReader</span><span class="p">,</span> <span class="n">JsonDataProcessor</span><span class="p">,</span> <span class="n">PandasDataProcessor</span>
|
|
</code></pre></div>
|
|
<p>This sample showcases presidio-structured on structured and semi-structured data containing sensitive data like names, emails, and addresses. It differs from the sample for the batch analyzer/anonymizer engines example, which includes narrative phrases that might contain sensitive data. The presence of personal data embedded in these phrases requires to analyze and to anonymize the text inside the cells, which is not the case for our structured sample, where the sensitive data is already separated into columns.</p>
|
|
<h2 id="loading-in-data">Loading in data</h2>
|
|
<div class="highlight"><pre><span></span><code><span class="n">sample_df</span> <span class="o">=</span> <span class="n">CsvReader</span><span class="p">()</span><span class="o">.</span><span class="n">read</span><span class="p">(</span><span class="s2">"./csv_sample_data/test_structured.csv"</span><span class="p">)</span>
|
|
<span class="n">sample_df</span>
|
|
</code></pre></div>
|
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<thead>
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<tr style="text-align: right;">
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<th></th>
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<th>id</th>
|
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<th>name</th>
|
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<th>email</th>
|
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<th>street</th>
|
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<th>city</th>
|
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<th>state</th>
|
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<th>non_pii</th>
|
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|
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</thead>
|
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<tbody>
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<tr>
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<th>0</th>
|
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<td>1</td>
|
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<td>John Doe</td>
|
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<td>john.doe@example.com</td>
|
|
<td>123 Main St</td>
|
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<td>Anytown</td>
|
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<td>CA</td>
|
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<td>reallynotpii</td>
|
|
</tr>
|
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<tr>
|
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<th>1</th>
|
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<td>2</td>
|
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<td>Jane Smith</td>
|
|
<td>jane.smith@example.com</td>
|
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<td>456 Elm St</td>
|
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<td>Somewhere</td>
|
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<td>TX</td>
|
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<td>reallynotapii</td>
|
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</tr>
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<tr>
|
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<th>2</th>
|
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<td>3</td>
|
|
<td>Alice Johnson</td>
|
|
<td>alice.johnson@example.com</td>
|
|
<td>789 Pine St</td>
|
|
<td>Elsewhere</td>
|
|
<td>NY</td>
|
|
<td>reallynotapiiatall</td>
|
|
</tr>
|
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</tbody>
|
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</table>
|
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</div>
|
|
|
|
<div class="highlight"><pre><span></span><code><span class="n">sample_json</span> <span class="o">=</span> <span class="n">JsonReader</span><span class="p">()</span><span class="o">.</span><span class="n">read</span><span class="p">(</span><span class="s2">"./sample_data/test_structured.json"</span><span class="p">)</span>
|
|
<span class="n">sample_json</span>
|
|
</code></pre></div>
|
|
<div class="highlight"><pre><span></span><code>{'id': 1,
|
|
'name': 'John Doe',
|
|
'email': 'john.doe@example.com',
|
|
'address': {'street': '123 Main St',
|
|
'city': 'Anytown',
|
|
'state': 'CA',
|
|
'non_pii': 'reallynotapiiatall'}}
|
|
</code></pre></div>
|
|
<div class="highlight"><pre><span></span><code><span class="c1"># contains nested objects in lists</span>
|
|
<span class="n">sample_complex_json</span> <span class="o">=</span> <span class="n">JsonReader</span><span class="p">()</span><span class="o">.</span><span class="n">read</span><span class="p">(</span><span class="s2">"./sample_data/test_structured_complex.json"</span><span class="p">)</span>
|
|
<span class="n">sample_complex_json</span>
|
|
</code></pre></div>
|
|
<div class="highlight"><pre><span></span><code>{'users': [{'id': 1,
|
|
'name': 'John Doe',
|
|
'email': 'john.doe@example.com',
|
|
'address': {'street': '123 Main St',
|
|
'city': 'Anytown',
|
|
'state': 'CA',
|
|
'non_pii': 'reallynotpii'}},
|
|
{'id': 2,
|
|
'name': 'Jane Smith',
|
|
'email': 'jane.smith@example.com',
|
|
'address': {'street': '456 Elm St',
|
|
'city': 'Somewhere',
|
|
'state': 'TX',
|
|
'non_pii': 'reallynotapii'}},
|
|
{'id': 3,
|
|
'name': 'Alice Johnson',
|
|
'email': 'alice.johnson@example.com',
|
|
'address': {'street': '789 Pine St',
|
|
'city': 'Elsewhere',
|
|
'state': 'NY',
|
|
'non_pii': 'reallynotapiiatall'}}]}
|
|
</code></pre></div>
|
|
<h2 id="tabular-csv-data-defining-generating-tabular-analysis-anonymization">Tabular (csv) data: defining & generating tabular analysis, anonymization.</h2>
|
|
<div class="highlight"><pre><span></span><code><span class="c1"># Automatically detect the entity for the columns</span>
|
|
<span class="n">tabular_analysis</span> <span class="o">=</span> <span class="n">PandasAnalysisBuilder</span><span class="p">()</span><span class="o">.</span><span class="n">generate_analysis</span><span class="p">(</span><span class="n">sample_df</span><span class="p">)</span>
|
|
<span class="n">tabular_analysis</span>
|
|
</code></pre></div>
|
|
<div class="highlight"><pre><span></span><code>StructuredAnalysis(entity_mapping={'name': 'PERSON', 'email': 'URL', 'city': 'LOCATION', 'state': 'LOCATION'})
|
|
</code></pre></div>
|
|
<div class="highlight"><pre><span></span><code><span class="c1"># anonymized data defaults to be replaced with None, unless operators is specified</span>
|
|
|
|
<span class="n">pandas_engine</span> <span class="o">=</span> <span class="n">StructuredEngine</span><span class="p">(</span><span class="n">data_processor</span><span class="o">=</span><span class="n">PandasDataProcessor</span><span class="p">())</span>
|
|
<span class="n">df_to_be_anonymized</span> <span class="o">=</span> <span class="n">sample_df</span><span class="o">.</span><span class="n">copy</span><span class="p">()</span> <span class="c1"># in-place anonymization</span>
|
|
<span class="n">anonymized_df</span> <span class="o">=</span> <span class="n">pandas_engine</span><span class="o">.</span><span class="n">anonymize</span><span class="p">(</span><span class="n">df_to_be_anonymized</span><span class="p">,</span> <span class="n">tabular_analysis</span><span class="p">,</span> <span class="n">operators</span><span class="o">=</span><span class="kc">None</span><span class="p">)</span> <span class="c1"># explicit None for clarity</span>
|
|
<span class="n">anonymized_df</span>
|
|
</code></pre></div>
|
|
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<thead>
|
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<tr style="text-align: right;">
|
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<th></th>
|
|
<th>id</th>
|
|
<th>name</th>
|
|
<th>email</th>
|
|
<th>street</th>
|
|
<th>city</th>
|
|
<th>state</th>
|
|
<th>non_pii</th>
|
|
</tr>
|
|
</thead>
|
|
<tbody>
|
|
<tr>
|
|
<th>0</th>
|
|
<td>1</td>
|
|
<td><None></td>
|
|
<td><None></td>
|
|
<td>123 Main St</td>
|
|
<td><None></td>
|
|
<td><None></td>
|
|
<td>reallynotpii</td>
|
|
</tr>
|
|
<tr>
|
|
<th>1</th>
|
|
<td>2</td>
|
|
<td><None></td>
|
|
<td><None></td>
|
|
<td>456 Elm St</td>
|
|
<td><None></td>
|
|
<td><None></td>
|
|
<td>reallynotapii</td>
|
|
</tr>
|
|
<tr>
|
|
<th>2</th>
|
|
<td>3</td>
|
|
<td><None></td>
|
|
<td><None></td>
|
|
<td>789 Pine St</td>
|
|
<td><None></td>
|
|
<td><None></td>
|
|
<td>reallynotapiiatall</td>
|
|
</tr>
|
|
</tbody>
|
|
</table>
|
|
</div>
|
|
|
|
<h3 id="we-can-also-define-operators-using-operatorconfig-similar-as-to-the-anonymizerengine">We can also define operators using OperatorConfig similar as to the AnonymizerEngine:</h3>
|
|
<div class="highlight"><pre><span></span><code><span class="kn">from</span><span class="w"> </span><span class="nn">presidio_anonymizer.entities.engine</span><span class="w"> </span><span class="kn">import</span> <span class="n">OperatorConfig</span>
|
|
<span class="kn">from</span><span class="w"> </span><span class="nn">faker</span><span class="w"> </span><span class="kn">import</span> <span class="n">Faker</span>
|
|
<span class="n">fake</span> <span class="o">=</span> <span class="n">Faker</span><span class="p">()</span>
|
|
|
|
<span class="n">operators</span> <span class="o">=</span> <span class="p">{</span>
|
|
<span class="s2">"PERSON"</span><span class="p">:</span> <span class="n">OperatorConfig</span><span class="p">(</span><span class="s2">"replace"</span><span class="p">,</span> <span class="p">{</span><span class="s2">"new_value"</span><span class="p">:</span> <span class="s2">"person..."</span><span class="p">}),</span>
|
|
<span class="s2">"EMAIL_ADDRESS"</span><span class="p">:</span> <span class="n">OperatorConfig</span><span class="p">(</span><span class="s2">"custom"</span><span class="p">,</span> <span class="p">{</span><span class="s2">"lambda"</span><span class="p">:</span> <span class="k">lambda</span> <span class="n">x</span><span class="p">:</span> <span class="n">fake</span><span class="o">.</span><span class="n">safe_email</span><span class="p">()})</span>
|
|
<span class="c1"># etc...</span>
|
|
<span class="p">}</span>
|
|
<span class="n">anonymized_df</span> <span class="o">=</span> <span class="n">pandas_engine</span><span class="o">.</span><span class="n">anonymize</span><span class="p">(</span><span class="n">sample_df</span><span class="p">,</span> <span class="n">tabular_analysis</span><span class="p">,</span> <span class="n">operators</span><span class="o">=</span><span class="n">operators</span><span class="p">)</span>
|
|
<span class="n">anonymized_df</span>
|
|
</code></pre></div>
|
|
<div>
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|
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}
|
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.dataframe thead th {
|
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|
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}
|
|
</style>
|
|
<table border="1" class="dataframe">
|
|
<thead>
|
|
<tr style="text-align: right;">
|
|
<th></th>
|
|
<th>id</th>
|
|
<th>name</th>
|
|
<th>email</th>
|
|
<th>street</th>
|
|
<th>city</th>
|
|
<th>state</th>
|
|
<th>non_pii</th>
|
|
</tr>
|
|
</thead>
|
|
<tbody>
|
|
<tr>
|
|
<th>0</th>
|
|
<td>1</td>
|
|
<td>person...</td>
|
|
<td><None></td>
|
|
<td>123 Main St</td>
|
|
<td><None></td>
|
|
<td><None></td>
|
|
<td>reallynotpii</td>
|
|
</tr>
|
|
<tr>
|
|
<th>1</th>
|
|
<td>2</td>
|
|
<td>person...</td>
|
|
<td><None></td>
|
|
<td>456 Elm St</td>
|
|
<td><None></td>
|
|
<td><None></td>
|
|
<td>reallynotapii</td>
|
|
</tr>
|
|
<tr>
|
|
<th>2</th>
|
|
<td>3</td>
|
|
<td>person...</td>
|
|
<td><None></td>
|
|
<td>789 Pine St</td>
|
|
<td><None></td>
|
|
<td><None></td>
|
|
<td>reallynotapiiatall</td>
|
|
</tr>
|
|
</tbody>
|
|
</table>
|
|
</div>
|
|
|
|
<h2 id="semi-structured-json-data-simple-and-complex-analysis-anonymization">Semi-structured (JSON) data: simple and complex analysis, anonymization</h2>
|
|
<div class="highlight"><pre><span></span><code><span class="n">json_analysis</span> <span class="o">=</span> <span class="n">JsonAnalysisBuilder</span><span class="p">()</span><span class="o">.</span><span class="n">generate_analysis</span><span class="p">(</span><span class="n">sample_json</span><span class="p">)</span>
|
|
<span class="n">json_analysis</span>
|
|
</code></pre></div>
|
|
<div class="highlight"><pre><span></span><code>StructuredAnalysis(entity_mapping={'name': 'PERSON', 'email': 'EMAIL_ADDRESS', 'address.city': 'LOCATION'})
|
|
</code></pre></div>
|
|
<div class="highlight"><pre><span></span><code><span class="c1"># Currently does not support nested objects in lists</span>
|
|
<span class="k">try</span><span class="p">:</span>
|
|
<span class="n">json_complex_analysis</span> <span class="o">=</span> <span class="n">JsonAnalysisBuilder</span><span class="p">()</span><span class="o">.</span><span class="n">generate_analysis</span><span class="p">(</span><span class="n">sample_complex_json</span><span class="p">)</span>
|
|
<span class="k">except</span> <span class="ne">ValueError</span> <span class="k">as</span> <span class="n">e</span><span class="p">:</span>
|
|
<span class="nb">print</span><span class="p">(</span><span class="n">e</span><span class="p">)</span>
|
|
|
|
<span class="c1"># however, we can define it manually:</span>
|
|
<span class="n">json_complex_analysis</span> <span class="o">=</span> <span class="n">StructuredAnalysis</span><span class="p">(</span><span class="n">entity_mapping</span><span class="o">=</span><span class="p">{</span>
|
|
<span class="s2">"users.name"</span><span class="p">:</span><span class="s2">"PERSON"</span><span class="p">,</span>
|
|
<span class="s2">"users.address.street"</span><span class="p">:</span><span class="s2">"LOCATION"</span><span class="p">,</span>
|
|
<span class="s2">"users.address.city"</span><span class="p">:</span><span class="s2">"LOCATION"</span><span class="p">,</span>
|
|
<span class="s2">"users.address.state"</span><span class="p">:</span><span class="s2">"LOCATION"</span><span class="p">,</span>
|
|
<span class="s2">"users.email"</span><span class="p">:</span> <span class="s2">"EMAIL_ADDRESS"</span><span class="p">,</span>
|
|
<span class="p">})</span>
|
|
</code></pre></div>
|
|
<div class="highlight"><pre><span></span><code>Analyzer.analyze_iterator only works on primitive types (int, float, bool, str). Lists of objects are not yet supported.
|
|
</code></pre></div>
|
|
<div class="highlight"><pre><span></span><code><span class="c1"># anonymizing simple data</span>
|
|
<span class="n">json_engine</span> <span class="o">=</span> <span class="n">StructuredEngine</span><span class="p">(</span><span class="n">data_processor</span><span class="o">=</span><span class="n">JsonDataProcessor</span><span class="p">())</span>
|
|
<span class="n">anonymized_json</span> <span class="o">=</span> <span class="n">json_engine</span><span class="o">.</span><span class="n">anonymize</span><span class="p">(</span><span class="n">sample_json</span><span class="p">,</span> <span class="n">json_analysis</span><span class="p">,</span> <span class="n">operators</span><span class="o">=</span><span class="n">operators</span><span class="p">)</span>
|
|
<span class="n">anonymized_json</span>
|
|
</code></pre></div>
|
|
<div class="highlight"><pre><span></span><code>{'id': 1,
|
|
'name': 'person...',
|
|
'email': 'duarteangela@example.org',
|
|
'address': {'street': '123 Main St',
|
|
'city': '<None>',
|
|
'state': 'CA',
|
|
'non_pii': 'reallynotapiiatall'}}
|
|
</code></pre></div>
|
|
<div class="highlight"><pre><span></span><code><span class="n">anonymized_complex_json</span> <span class="o">=</span> <span class="n">json_engine</span><span class="o">.</span><span class="n">anonymize</span><span class="p">(</span><span class="n">sample_complex_json</span><span class="p">,</span> <span class="n">json_complex_analysis</span><span class="p">,</span> <span class="n">operators</span><span class="o">=</span><span class="n">operators</span><span class="p">)</span>
|
|
<span class="n">anonymized_complex_json</span>
|
|
</code></pre></div>
|
|
<div class="highlight"><pre><span></span><code>{'users': [{'id': 1,
|
|
'name': 'person...',
|
|
'email': 'bmcfarland@example.org',
|
|
'address': {'street': '<None>',
|
|
'city': '<None>',
|
|
'state': '<None>',
|
|
'non_pii': 'reallynotpii'}},
|
|
{'id': 2,
|
|
'name': 'person...',
|
|
'email': 'bmcfarland@example.org',
|
|
'address': {'street': '<None>',
|
|
'city': '<None>',
|
|
'state': '<None>',
|
|
'non_pii': 'reallynotapii'}},
|
|
{'id': 3,
|
|
'name': 'person...',
|
|
'email': 'bmcfarland@example.org',
|
|
'address': {'street': '<None>',
|
|
'city': '<None>',
|
|
'state': '<None>',
|
|
'non_pii': 'reallynotapiiatall'}}]}
|
|
</code></pre></div>
|
|
<div class="highlight"><pre><span></span><code>
|
|
</code></pre></div>
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