Securing Sensitive Data

Overview

Sensitive data protection is a design concern from the first architecture conversation. It cannot be bolted on after teams have already copied data across systems and logs.

Key Ideas

• Classify data before designing storage, APIs, logs, analytics, and support workflows.
• Reduce exposure through tokenization, masking, encryption, retention limits, and least-privilege access.
• Observability must help support teams without leaking private customer information.

Takeaway

Secure systems minimize where sensitive data travels, who can see it, and how long it remains accessible.