Seudo Review

Table of Contents

• Overview of Seudo
• Key Features of Seudo
• Data Transformation Operations
• Integrating Seudo into Data Pipelines
• Exploring the Seudo Demo App

Overview of Seudo :smiley:

Seudo is an AI-driven data pseudonymization workflow engine developed by Alpn Software. It is designed to make data pseudonymization quick, easy, and scalable.

Seudo combines a powerful data transformation engine with an AI assistant. This gives users both the tools to easily transform their data and insights/recommendations based on analysis of the data.

Key Features of Seudo :smiley:

Seudo supports several key data transformation operations to make datasets safe for sharing:

• Redaction of personal data
• Masking of rare events
• Time shifting of dates and timestamps

Seudo's AI assistant analyzes data and provides recommendations to users.

The Seudo team is developing a cloud portal where users can build, store, and manage pseudonymization workflows.

Seudo can integrate into existing CI/CD and data pipeline workflows using APIs.

Data Transformation Operations :smiley:

Seudo performs the following key data transformation operations:

• Redaction - Removes personal data from datasets
• Masking - Obfuscates rare events to prevent re-identification
• Time Shifting - Changes dates/times while preserving time-based relationships

These ensure shared data is safe and low risk.

Integrating Seudo into Data Pipelines :smiley:

• Seudo provides APIs to integrate with existing workflows
• Can be added to CI/CD and data pipelines
• Cloud portal (in development) will enable workflow building/management
• Workflows can be triggered automatically in pipelines

Exploring the Seudo Demo App :smiley:

• Demo app shows Seudo's capabilities
• Users can try out data transformations
• See analysis and recommendations from AI assistant
• Provides a walkthrough of key features
• Sign up for access to demo app and features