Privacy Checker Skill

What problem does it solve?

This Skill safeguards sensitive information by detecting Personally Identifiable Information (PII) within data, assessing privacy risks, and applying anonymization techniques to ensure compliance and prevent data leakage.

Core Features & Use Cases

• PII Detection: Identifies direct, quasi-, and sensitive identifiers using patterns and context.
• Privacy Risk Assessment: Evaluates re-identification risk using metrics like k-anonymity, l-diversity, and t-closeness.
• Anonymization: Offers various methods like suppression, generalization, pseudonymization, perturbation, and tokenization.
• Compliance Checking: Validates against regulations such as GDPR, HIPAA, and CCPA.
• Data Leakage Detection: Prevents synthetic data from exposing real information.
• Use Case: Before generating synthetic customer data, use this Skill to scan a sample of real customer data to identify PII, then apply pseudonymization to names and emails to ensure the synthetic data is privacy-compliant.

Quick Start

Use the privacy checker skill to scan the file 'customer_data.csv' for PII and assess its privacy risk.