Securing an Anomaly Detection System for Microservice-Based Applications

A computer system comprising:

• a processor;
• and
• a non-transitory computer readable medium having stored thereon program code that, when executed by the processor, causes the processor to:
• determine that one or more attacks have been or are in the process of being perpetrated against an anomaly detection system, wherein the anomaly detection system comprises a set of machine learning (ML) models trained to detect anomalous application programming interface (API) call behavior in a microservice-based application based on API call traces collected from the microservice-based application;
• and
• in response to the determining, initiate one or more actions for securing the anomaly detection system against the one or more attacks.