DataSec.AI - Data Anonymization Microservice

DataSec.AI aims to tackle data privacy issues of the 21st century by leveraging cutting-edge technologies integrated with state-of-the-art NLP Algorithms!

• DataSec.AI masks all the sensitive Personally Identifiable Information (PII) on the web

• The masking logic works real-time, connects to the company VPN & intercepts all the network traffic

• The masking logic can be configured by our clients, once their accounts are authorized by the admin

• Several types of masks are configured to ensure that DataSec covers all PII, especially pharma industry

• The software can be deployed as both Cloud and On-Premise setup

• Containerized deployment on Google Kubernetes Engine speeds up anonymization, scaling, healing

• The CI/CD pipeline helps to push and deploy new code modifications with great ease

• Leveraged Service Mesh Architecture to deploy DataSec on Google Kubernetes Engine

• Squid Proxy acts as Reverse Proxy & intercepts all the traffic on a given network

• Squid Proxy acts as sidecar to Python ICAP Server which Masks/Unmasks PII from intercepted traffic

• Redis used for in-memory caching of Masking logic, Request Configurations, UserID Management

• Flask framework is used to develop the Configuration Software

• PostgreSQL Database is used for the purpose of RDBMS

• SpaCy's Presidio Analyzer Engine is leveraged to detect & anonymize PII from requests and responses

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