What impact does RASP introduce that affects CPU, memory, and latency?

RASP, or Runtime Application Self-Protection, is a security technology that operates within the application runtime environment. It directly monitors and analyzes the behavior of applications in real-time, providing protection against various threats and vulnerabilities as they occur. The reason runtime overhead is the correct answer is due to the additional processing that RASP introduces to the application.

When RASP is integrated into an application, it has to analyze every request and response in real-time to detect potential attacks and enforce security policies. This requires extra CPU resources for monitoring, data collection, and decision-making processes, leading to increased memory usage and additional CPU cycles. Consequently, the application experiences what is known as runtime overhead, which can lead to slower performance compared to a non-instrumented application.

The other options, while relevant to application performance, do not specifically pertain to the intrinsic operations and impacts of RASP. Network latency refers to delays in data transfer across a network and is not directly caused by the application itself. Database access time focuses on delays in retrieving or updating data in a database, which is independent of RASP's operation. Application initialization time pertains to the startup phase of an application and is not affected by the real-time monitoring functions of RASP. Therefore, the unique and