Explanation
Structured storage involves organized and categorized data, which most closely resembles and operates like a database system would.

Sensitive data exposure occurs when information is not properly secured through encryption and secure transport mechanisms; it can quickly become an easy and broad method for attackers to compromise information. Web applications must enforce strong encryption and security controls on the application side, but secure methods of communications with browsers or other clients used to access the information are also required. Security misconfiguration occurs when applications and systems are not properly configured for security, often a result of misapplied or inadequate baselines. Insecure direct object references occur when code references aspects of the infrastructure, especially internal or private systems, and an attacker can use that knowledge to glean more information about the infrastructure. Unvalidated redirects and forwards occur when an application has functions to forward users to other sites, and these functions are not properly secured to validate the data and redirect requests, thus allowing spoofing for malware or phishing attacks.

Explanation
The biggest challenge for properly using any programmatic tools in data discovery is the actual quality of the data, including the data being uniform and well structured, labels being properly applied, and other similar facets. Without data being organized in such a manner, it is extremely difficult for programmatic tools to automatically synthesize and make determinations from it. The overall quantity of data, as well as the number of sources, does not pose an enormous challenge for data discovery programs, other than requiring a longer time to process the data. The language of the data itself should not matter to a program that is designed to process it, as long as the data is well formed and consistent.