API security requires full context. This means learning behavioral patterns – both normal and abnormal – researching reconnaissance tactics, and identifying any unknown attack in the environment that did not have known signatures to protect APIs.
The entire point of a data lake is to power the full context of APIs, and support the use cases of the “unknown unknowns”. Since unknown threats, including zero-day attacks, make up the vast majority of attacks against APIs, a data lake is essential to constantly look for anomalous or malicious behavior.
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