API runtime protection is the process of securing APIs as they operate and manage requests during their normal functioning. Blocking runtime API threats requires an understanding of the context of operations for each individual API, including API access, usage, and behavior.

In addition, runtime protection should log API traffic, monitor sensitive data access, detect threats, and block or remediate attack vectors.

Monitoring API Traffic for Attacks
Observing API traffic behavior is essential to identify risks. After your API footprint is inventoried, API runtime protection should continually monitor traffic and API consumption and look for vulnerabilities and misconfigurations.

Detecting Anomalous Behavior
Having a baseline of “normal” API behavior makes it possible to identify anything out of the ordinary. Replaying historical data can help identify anomalous behavior which may also reveal an attacker’s intent.
Any potential anomalies should be examined further in the context.

Detecting Data Exposure
AI and machine learning can be instrumental in real time traffic analysis and anomaly detection, providing contextual insights into data leakage, data tampering, data policy violations, suspicious behavior, and API security attacks.

To learn more about API Runtime Protection, you can visit the following links:

Noname Academy - What is API Runtime Protection?: https://nonamesecurity.com/learn/what-is-api-runtime-protection/

The Definitive Guide to API Runtime Protection (ebook): https://nonamesecurity.com/resources/definitive-guide-runtime-protection/

Noname Security API Runtime Protection Tool: https://nonamesecurity.com/platform/runtime-protection/

Noname Security API Runtime Protection Demo:
https://nonamesecurity.com/resources/video-runtime-protection-platform/