Lilly Tech Systems
PII Detection & Redaction
Learn to identify, detect, and redact personally identifiable information (PII) from text data using regex patterns, NLP techniques, and ML-based detection tools. Protect user privacy and ensure compliance with data protection regulations.
Your Learning Path
Follow these lessons in order to master PII detection and redaction techniques.
1. Introduction
What is PII? Why PII detection matters for AI systems, privacy regulations, and data protection fundamentals.
2. PII Types
Categories of PII: direct identifiers, quasi-identifiers, sensitive data, and named entity types.
3. Detection Methods
Regex patterns, spaCy NER, transformer-based detection, and ML-based approaches for finding PII.
4. Redaction
Redaction strategies: masking, replacement, tokenization, anonymization, and pseudonymization techniques.
5. Tools
Microsoft Presidio, spaCy NER pipelines, AWS Comprehend, Google DLP, and LLM guardrails for PII.
6. Best Practices
Production deployment, compliance frameworks, accuracy optimization, and PII governance strategies.
What You'll Learn
By the end of this course, you'll be able to:
Identify PII Types
Recognize all categories of personally identifiable information in text data.
Build Detection Pipelines
Implement regex, NER, and ML-based PII detection systems.
Redact Effectively
Apply appropriate redaction strategies while preserving data utility.
Use Industry Tools
Deploy Presidio, spaCy, and cloud-based PII detection in production.