Data Pillar – Security, Loss Prevention, Encryption
In a Zero Trust architecture, access is never assumed—it must be continuously verified. The Data Pillar provides a strategic framework to classify, secure, and manage access to sensitive data across the enterprise. This pillar focuses on enforcing data encryption, implementing granular access controls, monitoring usage, and ensuring that data is only accessible to authorized users, devices, and applications based on real-time context and risk.
Each activity below supports the foundational Zero Trust principle: “Never trust, always verify.”

What Are the Data Pillar Activities?
The Data Pillar ensures sensitive information is properly labeled, encrypted, and accessible only under strict, context-driven controls (Bold links will open the article directly; standard links require a free download of the full collection.):
- Data Pillar – Activity 4.1.1 Data Analysis
- Data Pillar – Activity 4.2.1 Define Tagging Standards
- Data Pillar – Activity 4.2.2 Interoperability Standards
- Data Pillar – Activity 4.2.3 Develop SDS Policy
- Data Pillar – Activity 4.3.1 Implement Data Tagging and Classification Tools Part 1
- Data Pillar – Activity 4.3.2 Manual Data Tagging Part 1
- Data Pillar – Activity 4.4.1 DLP Enforcement Point Logging & Analysis
- Data Pillar – Activity 4.4.2 DRM Enforcement Point Logging & Analysis
- Data Pillar – Activity 4.4.3 File Activity Monitoring Part 1
- Data Pillar – Activity 4.4.4 File Activity Monitoring Part 2
- Data Pillar – Activity 4.5.1 Implementing DRM and Protection Tools Part 1
- Data Pillar – Activity 4.5.2 Implementing DRM and Protection Tools Part 2
- Data Pillar – Activity 4.5.3 DRM Enforcement via Data Tags and Analytics Pt1
- Data Pillar – Activity 4.6.1 Implement Enforcement Points
- Data Pillar – Activity 4.6.2 DLP Enforcement via Tags & Analytics Part 1
- Data Pillar – Activity 4.7.1 Integrate DAAS Access with SDS Policy Part 1
- Data Pillar – Activity 4.7.2 Integrate DAAS Access with SDS Policy Part 2
Data Pillar
The Data Pillar focuses on identifying and classifying sensitive data, enforcing encryption and access controls, and continuously monitoring data usage based on contextual signals such as user role, device posture, access patterns, and risk level.








