Our main use case for Rapid7 InsightAppSec is to perform internal assessment of applications and external facing applications. We have a cloud engine plus on-premises engine, and we have been leveraging both to conduct our internal app sec and external web application security scanning.
There are some areas for improvements regarding false positives. The integration capabilities are limited, as options for integrations with other tools such as SNOW, Jira, or other integration tools have been lacking in Rapid7 InsightAppSec. Rapid7 has InsightConnect for automation, but it has not been readily available to us. We would appreciate the ability to integrate with other tools, which is currently lacking in the Rapid7 InsightAppSec platform.
We heavily rely on this platform to do our security work. We also use Security Scorecard, which is another vendor providing external security intelligence and external web application monitoring. We would appreciate if Rapid7 InsightAppSec could leverage its inbuilt functionalities and possibly integrate our own written tools.
From the strong points, it provides very good scan coverage and has excellent cloud-based engine scanning capabilities. It has a user-friendly interface, though it can be glitchy sometimes. The platform currently does not support AI-driven capabilities. They have recently released AI integrations to detect LLM-based attacks, but it is not leveraging LLMs; it's merely detecting LLM attack scenarios.