What Are Data Classification & Tagging/Labeling?

Hello all, 

Welcome to another edition of Strac’s weekly newsletter update. Today’s article explores data classification and tagging/labeling, and the role they play in protecting sensitive data. I hope you find it enjoyable and informative.

Additionally, if you need help discovering & classifying sensitive data on SaaS, Cloud, and Generative AI, and the ability to remediate (redact, mask, block, alert) PII, PHI, PCI, Sensitive Data or comply with PCI, HIPAA, SOC 2, GDPR, CCPA, please feel free to book a call with me.

Warmly,

Aatish

Strac’s Latest Views on Data Classification and Tagging/Labeling

 🚀 Learn about Data Classification and Labeling!

Data classification and labeling are critical for protecting sensitive data, meeting regulatory requirements, and managing risks. By categorizing data based on its sensitivity, organizations can apply the appropriate security controls and focus resources on protecting the most critical assets.

Key Points:

1. Data Classification Levels - Ranges from Public (low risk) to Restricted/Sensitive (high risk, like PII and PHI).

2. Benefits - Improves data security and compliance, supports efficient data management and cost savings, and enhances breach response.

3. Best Practices - Use clear categories, automate labeling, regularly update, and train employees.

4. Strac’s Role - Strac offers tools for data discovery, classification, and remediation to enhance data protection in SaaS and cloud environments.

Conclusion:

Effective data classification strategies enhance security, compliance, and risk management while optimizing resource use. Strac provides comprehensive solutions to support these efforts.

To learn more about classification and tagging/labeling, and why they are crucial for protecting sensitive data click here.