Securing Data Examples
Data management systems often need to apply filtering and masking on data and apply strict access control rules to maintain data security, privacy, and regulatory compliance. Organizations need to protect sensitive information from unauthorized access. In this chapter, you will discover ways to use aggregation pipelines to help secure the data in a MongoDB database to reduce the risk of a data breach.
This chapter will cover the following:
- Providing views that filter out sensitive records and fields
- Masking and obfuscating the data of sensitive fields
- Applying programmatic access control rules over which users can access specific subsets of data
