Examples scripts that showcase how to use Private AI Text to de-identify, redact, hash, tokenize, mask and synthesize PII in text.

Kernel-based Process Monitoring on Linux Endpoints for File System, TCP and UDP Networking Events and optionally DNS, HTTP and SYSLOG Application Messages via eBPF Subsystem

天机办公安全平台是有安科技推出的一款全方位办公安全防护产品，包含DNS、SWG、CASB、FIDO2、PassKey、ZTNA、SASE、DLP等功能。

Context aware, pluggable and customizable data protection and de-identification SDK for text and images

Pseudonymization extensions for Dapla Toolbelt

Finding exposed secrets and personal data in GitLab

serverless ☁️ 🚀 , pseudonymizing proxy between Worklytics and your workplace 💼 SaaS data sources' APIs. Data Loss Prevention (DLP) 🛡️🔒 and compliance layer deployable to AWS Lambda or GCP Cloud Functions.

홀로그램 대화형 AI

SensiHidePDF is an end-to-end solution for redacting sensitive information from PDF files (specially resumes) in bulk. It makes use of google data loss prevention API

A python client used to interact with the Private AI's API

Anotações da disciplina de "Eletrônica Digital II" do curso de Engenharia de Telecomunicações do IFSC - Instituto Federal de Santa Catarina, Campus São José

MSLA/DLP, file analysis, calibration, repair, conversion and manipulation

Use Remote Functions to tokenize data with DLP in BigQuery using SQL

There’s a gap in real-time monitoring of data exfiltration risks from persistent volumes and advanced DLP for Kubernetes storage volumes. Current KSPM solutions often stop at volume encryption and don't focus enough on runtime protection for sensitive data.

NanoDLP user interface

(De/)pseudonymization endpoints

Deep Learning Spring 2023 @ NYCU

Python control for Texas Instruments DMDs with a DLPC900 controller.

Multi Cloud Data Tokenization Solution By Using Dataflow and Cloud DLP

This solution provides an automated, serverless way to redact sensitive data from PDF files using Google Cloud Services like Data Loss Prevention (DLP), Cloud Workflows, and Cloud Run.