There are areas for improvements regarding false positives. Integration capabilities are lacking, as options for integrations with other tools such as SNOW, Jira, or other integration tools are not sufficient in Rapid7 InsightAppSec. The user interface sometimes has glitches, which may prevent appropriate results during navigation, and even when we get appropriate results, it can be impossible to export them to CSV records or download files. Regarding scalability, Rapid7 InsightAppSec is not a scalable solution for our industry due to limited integration capabilities. Rapid7 relies on another tool called InsightConnect, which requires additional investment, detracting from scalability. Another area that needs improvement is the integration of AI capabilities into the platform. Both Rapid7 InsightAppSec and InsightVM need to advance in that area. In terms of behavioral and pattern recognition, identifying complex attacks such as SQL, blind SQL, JSON, and LDAP injections often results in 94% false positives. This necessitates improvement in their behavioral-based analytics feature.
