
Data Security Fundamentals
Enterprise data security isn't about any single technology — it's about a layered approach that protects data at rest, in transit, and in use.
Encryption Strategy
At Rest:
- AES-256 for database encryption (TDE for SQL Server, native encryption for PostgreSQL)
- Encrypted file systems for unstructured data
- Key management via HSM or cloud KMS (never store keys alongside data)
- TLS 1.3 for all external communication
- Mutual TLS for service-to-service communication
- Certificate pinning for mobile applications
- Application-level encryption for sensitive fields (PII, financial data)
- Consider confidential computing for highly sensitive workloads
Access Control
Zero-Trust Model:
- Verify every request regardless of network location
- Least privilege — grant minimum necessary permissions
- Just-in-time access for administrative operations
- Continuous authentication and authorization
- RBAC (Role-Based Access Control) for application users
- ABAC (Attribute-Based Access Control) for complex authorization
- PAM (Privileged Access Management) for admin accounts
- SSO with MFA for all user authentication
Data Classification
Classify all data into categories:
- Public — Marketing materials, published content
- Internal — Employee directory, internal documentation
- Confidential — Customer data, financial reports
- Restricted — PII, PHI, payment card data, trade secrets
Compliance Alignment
Map security controls to compliance frameworks (SOC 2, ISO 27001, GDPR, HIPAA) to avoid duplicate efforts. A well-designed security program satisfies multiple frameworks simultaneously.
Conclusion
Data security is a continuous program, not a project. Regular assessments, employee training, and incident response testing ensure your security posture keeps pace with evolving threats.
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