Personal Identifiable Information (PII) entity detection and performance enhancement with synthetic data generation
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Updated
Sep 4, 2024 - Python
Personal Identifiable Information (PII) entity detection and performance enhancement with synthetic data generation
Open Source Intelligence tool base for searching breached PII (Personally identifiable information) by Username, Email, or IP address.
Web Scanner written in Python which after scanning the given URL returns it's domain name, ip address, nmap scan results and also the contents the URL's robots.txt.
An open-source API that identifies, masks, and replaces Personallly Identifying Information (PII)
SAP DATA SCRAMBLING TOOL (DST)
This project demonstrate that how a government or any super authority can utilize the Ethereum blockchain for the attestation of citizen's PII data. By empowering the user and allowing user to verify his information on any third party website using his Ethereum account through Web.3.0 wallets.
This easy-to-go solution could make your web-service or website compliant with Russian Federal Law FZ-152. That example will help you setup reverse proxy to catch private data and dump it in a local database.
Very Spacy Food - iOS demo application build on top of VGS Collect SDK for securely collecting payment card data
This is demo repo to demonstrate how to leverage Azure Text Analytics to perform Personally identifiable information (PII) data scrubbing by Python (Jupyter Notebook). This is important part of data wrangling/data cleaning.
An experimental library for marking and encrypting properties on objects that contain personally identifiable information.
Cyprus: PII Protection and Verification System A web-based solution using Python, Django, Tesseract OCR, and AES-256 encryption to extract, mask, and securely verify PII from government documents. Improved efficiency by 60% and accuracy by 70%, replacing traditional methods with a scalable digital process.
Piiranha Server - PII Detection and Masking Service
Sample app to store PII data in encrypted form
LLMSecOps focuses on integrating security practices within the lifecycle of machine learning models. It ensures that models are robust against threats while maintaining compliance and performance standards.
A simple cryptographic key management service.
PII masking, is a technique that protects personal data by hiding it from public view. PII stands for Personal Identifiable Information.
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