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)
In Transit:
TLS 1.3 for all external communication
Mutual TLS for service-to-service communication
Certificate pinning for mobile applications
In Use:
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
Implementation:
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
Apply security controls proportional to classification level.
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.