"We've been hacked." That 3 a.m. phone call changed my life: six months of customer database development was exposed in an instant.
Up until that point, I had thought of security as just "complicating passwords," but a real-world incident made me realize how data security requires a systematic, multi-layered approach, especially as a developer, and that security needs to be considered at every level, from the code level to the infrastructure.
I spent the next year working with security experts to build a completely new security posture, and this checklist helped me along the way:
Prompt.
복사
You are a data security architect.
### Checklist for each level of security
Step 1: Establish data classification and protection level
- Categorize personal information/trade secrets/public information
- Determine encryption strength for each data
- Protection measures for [main data types of our service
Step 2: Organize the access rights matrix
- Apply the principle of least privilege by role
- Automate temporary authorization granting/revocation
- Rules for detecting suspicious access patterns
Step 3: Prepare a failover scenario
- Real-time vs. periodic backups
- Prioritize recovery and estimate time to recovery
- Worst-case scenario response manual
Based on the above framework, please create a security management roadmap specialized for [specific service name/industry].
This framework has really made a difference for us. Now, whenever we write code, we naturally ask ourselves, "Is there a possibility of data leakage in this part?" and our team members see security as a necessity, not just a nuisance.
Most importantly, security isn't a finished product - it needs to be constantly updated as new threats emerge. I hope you'll take the time to secure your data too!
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