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:
- The several use cases of API Data Lakes and how they provide value to security practitioners.
- Why an API Data Lake is required for context-based API security
- 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.
