Context aware, pluggable and customizable data protection and de-identification SDK for text and images
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Updated
Jul 29, 2024 - Python
Context aware, pluggable and customizable data protection and de-identification SDK for text and images
What's in your data? Extract schema, statistics and entities from datasets
An AI-powered Personal Identifiable Information (PII) scanner.
Scan databases and data warehouses for PII data. Tag tables and columns in data catalogs like Amundsen and Datahub
This package features data-science related tasks for developing new recognizers for Presidio. It is used for the evaluation of the entire system, as well as for evaluating specific PII recognizers or PII detection models.
A research python package for detecting, categorizing, and assessing the severity of personal identifiable information (PII)
Metadata and data identification tool and Python library. Identifies PII, common identifiers, language specific identifiers. Fully customizable and flexible rules
A package to build an end-to-end pipeline for detecting personally identifiable information from text.
A powerful scanner to scan your Filesystem, S3, MySQL, Redis, Google Cloud Storage and Firebase storage for PII and sensitive data.
Application and python script to identify, remove, and/or recode personally identifiable information (PII) from field experiment datasets.
Search for PII in Python
Python Data Loss Prevention (DLP) SDK - Nightfall Developer Platform
Library for identification, anonymization and de-anonymization of PII data
Registry of metadata identifier entities like UUID, GUID, person fullname, address and so on. Linked with other sources
The Security Toolkit for managing Generative AI(especially LLMs) and Supervised Learning processes(Learning and Inference).
An open-source API that identifies, masks, and replaces Personallly Identifying Information (PII)
Application of our De-identification Framework with open source technologies, enabling enterprises to take ownership of the de-identification process and deploy it in trusted environments.
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