Lion Cipher Lab
Data Loss Prevention (DLP) basics: detect sensitive data before it leaks
- GRC / Compliance
- Beginner
- ~55 min
- Free · no account required
Why it matters
The most common way an organization gets hurt is not a dramatic hack -- it is sensitive data quietly ending up somewhere it should not be: a spreadsheet of customer card numbers emailed to the wrong person, an API key committed to a public code repo, a support agent pasting a Social Security number into a chat tool. Data Loss Prevention (DLP) is the discipline of finding sensitive data automatically and stopping it from leaving where it belongs, and it is a fast-growing, hire-heavy corner of security, privacy, and GRC precisely because every company now holds regulated data and every…
What you'll learn
- what Data Loss Prevention (DLP) is and the problem it solves
- what 'sensitive data' and PII mean, with concrete examples
- the three data states DLP watches: data at rest, in motion, and in use
- the three DLP channels: endpoint, network, and cloud
- writing detection patterns (regex) for SSNs, API keys, and credit cards
- using a Luhn check to confirm a credit-card number and cut false positives
- running an open-source secrets scanner (detect-secrets / gitleaks) on your files
- the core split: detection (find and alert) vs enforcement (block or redact)
- spotting and handling false positives before you act on a match
- what redaction is, and doing it on your own sample data
Steps in this lab
- The words first: DLP, sensitive data, PII, and the three data states
- The three channels, and the split that defines the field: detection vs enforcement
- Open a terminal, confirm Python, and generate your sample dataset
- Write the detection patterns: regex, and the Luhn check for cards
- Build and run the DLP scanner
- Now use a real open-source scanner: detect-secrets (and gitleaks)
- False positives: the match that fools you
- From detection to enforcement: alert, block, and redact
- Design your DLP policy: what to detect, where, and what to do
- What you built, and the mindset to keep