- Lab
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Libraries: If you want this lab, consider one of these libraries.
- Security
DLP Incident Response & Tuning
In this lab, you will build an endpoint Data Loss Prevention (DLP) system to detect, classify, and prevent the leakage of sensitive data.
Lab Info
Table of Contents
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Challenge
Build a lightweight DLP system
In this objective, you will create a lightweight Data Loss Prevention (DLP) solution using Python. You will configure detection rules for sensitive data types, scan files for potential policy violations, classify files based on risk level, and generate structured alerts for investigation and incident response.
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Challenge
Investigate, triage, and remediate DLP alerts
In this objective, you will review and analyze DLP alerts generated by the scanning system and perform remediation actions to protect sensitive data.
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Challenge
Tune DLP rules to reduce false positives and negatives
In this objective, you will evaluate the effectiveness of the DLP detection rules by reviewing both false positive and false negative results. You will refine the detection logic by implementing exclusions and adding new detection patterns, then rerun the scanner to validate the updated rules and improve the accuracy of sensitive data detection.
Real skill practice before real-world application
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Learn by doing
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Turn time into mastery
On average, you retain 75% more of your learning if you take time to practice. Hands-on labs set you up for success to make those skills stick.