API Secure

Data Theorem's API Secure manages securing modern APIs, which are increasingly vulnerable to attacks and data breaches. This tool employs a comprehensive technical architecture to discover, test, and protect APIs across multi-cloud and on-premise environments.

API Secure utilizes a blackbox discovery approach, requiring no agents, configuration, or maintenance, to continuously monitor and identify APIs. It integrates with various environments, including AWS, Azure, GCP, and private clouds, as well as existing API gateway solutions and developer tools. This ensures that APIs are discovered as they are built, providing real-time visibility into the API landscape.

The security testing component of API Secure is robust, incorporating multiple types of analysis such as Static Code Analysis (SAST), Dynamic Analysis (DAST), Software Composition Analysis (SCA), and fully customized testing using powerful hacker toolkits. This multi-faceted approach ensures in-depth API security testing, identifying vulnerabilities and providing critical alerts and remediation solutions.

From an operational standpoint, API Secure offers real-time active protection, focusing on areas such as authentication, authorization, encryption, attack prevention, and bot protection. The tool also integrates with DevOps tools, ensuring that security checks do not slow down application development. However, it is important to note that the effectiveness of these protections can depend on the complexity and scale of the API ecosystem, and may require careful configuration to avoid false positives or performance degradation.

Technically, the Analyzer Engine at the heart of API Secure continuously scans for security flaws and data privacy gaps, providing alerts and compliance testing through the build pipeline. This engine is designed to reveal vulnerable assets quickly, eliminating the need for additional services like consultants or manual pen testers. However, the scalability of the engine and the associated costs, particularly in multi-cloud environments, should be carefully considered to ensure optimal performance and cost management.