Data is at the center of your architecture, and it is essential to secure and protect it. Most of the compliance and regulation in place are there to protect customer data and identity. Most of the time, any attack has the intention of stealing the user's data. You should categorize your data as per its sensitivity level and protect it accordingly. For example, customer credit card information should be the most sensitive data and needs to be handled with the utmost care. However, a customer's first name may not be that sensitive compared to their password.
Create mechanisms and tools that should minimize the need for direct access to data. Avoid manual processing of data by applying tool-based automation that eliminates human error, especially when handling sensitive data. Apply access restrictions to the data wherever possible to reduce the risk of data loss or data modification.
Once you categorize data sensitivity, you can use the appropriate encryption,...
