SecHub

A unified integration mechanism for managing multiple security tools and scanners through a simple API/client interface.

Multi-Cloud Open Source Self Hosted + Cloud Options
Category DevSecOps & Pipeline Security
Last Commit 1 year ago
Last page update 19 days ago
Pricing Details Free and open-source under MIT License.
Target Audience Developers and security teams looking for a comprehensive security testing solution.

SecHub addresses the complex challenge of managing multiple security tools and scanners by providing a unified integration mechanism through a simple API/client interface. This architecture allows developers to consolidate various security testing tools, including SAST (Static Application Security Testing), DAST (Dynamic Application Security Testing), secret scanners, infrastructure scanners, and license scanners, into a single, manageable framework.

Technically, SecHub acts as an intermediary, enabling seamless communication between different security products. This is achieved through a standardized API that abstracts the complexities of individual tool integrations, making it easier to implement and maintain a comprehensive security testing suite. The integration with major IDEs further enhances usability by allowing developers to navigate directly to code positions highlighted in security reports.

Operationally, SecHub requires careful configuration to ensure that all integrated tools are properly aligned and that the API can handle the volume of data generated. Scalability is a key consideration, as the system needs to manage multiple concurrent scans and report generations without significant performance degradation. Additionally, the MIT LICENSE under which SecHub is released allows for flexibility in deployment and customization, but it also means that users must manage updates and security patches independently.

In terms of specific technical details, SecHub supports a wide range of scanners and tools, each with its own set of metrics and reporting formats. The system can handle real-time scanning and reporting, although the frequency and granularity of these reports can be adjusted based on the specific needs of the project. However, managing the retention and analysis of these reports can become complex, especially in large-scale deployments where data volume and storage costs need to be carefully managed.

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