Data Loss Prevention (DLP)
Welcome to the Data Loss Prevention (DLP) documentation. This guide will help you understand how to use Speedscale's DLP feature to automatically discover, mask, and manage Personally Identifiable Information (PII) and sensitive data in your API traffic.
What You'll Learn
This documentation covers:
- Setting up DLP in your environment
- Discovering PII in test environments
- Creating DLP rules to protect production data
- Applying rules to production forwarders
- Generating test data from redacted snapshots
- Best practices and troubleshooting
- Troubleshooting common issues
Quick Start
If you're new to DLP, follow these steps:
- Introduction - Understand what DLP is and why you need it
- Discovering PII - Start discovering sensitive data in test environments
DLP Workflow
Documentation Structure
Getting Started
Core Workflows
- Discovering PII in Test Environment
- Understanding DLP Recommendations
- Creating DLP Rules
- Applying Rules to Production
- Generating Test Data
Advanced Topics
Reference
Key Concepts
Before diving in, familiarize yourself with these key concepts:
- DLP Rule: A configuration that defines how data should be redacted and transformed
- PII: Personally Identifiable Information (email, SSN, credit card, etc.)
- REDACTED Token: A placeholder value that replaces PII in production traffic
- Transform Chain: A sequence of filters, extractors, and transforms that process data
- Forwarder: A component that forwards traffic to Speedscale cloud
- Snapshot: A captured set of API traffic at a point in time
Need Help?
- Check the Troubleshooting section for common issues