fbpx

View the Solutions Brief


The Basis for Context-Aware Security, Intelligence and Scalability

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.

Download the solutions brief to learn:

  1. The several use cases of API Data Lakes and how they provide value to security practitioners.
  2. Why an API Data Lake is required for context-based API security
  3. How an API Data Lake powers several capabilities, including, discovery and security posture management, compliance and API testing, threat detection, API DLP, and threat management.

See Traceable in Action.