There is room for growth in the product platform; our detection engineers using Anvilogic every day encounter some frustrating UX experience issues where buttons are not logically placed, and workflows are not working as expected. There is also room for growth in integrating the platform with third parties, as we have encountered limitations in what can be executed via API and what is documented. We are a heavy automation integration team, so having this well documented is important for us. The enterprise capabilities within the platform also seem somewhat limited, as we run into limitations in managing detections at scale and making changes to those detections at scale. Especially at an enterprise level, if we need to add enrichment logic to every single detection deployed, it can be quite onerous; we had to develop custom scripts to manage that. Thus, enhancing enterprise-type features for managing the platform at scale rather than clicking through the GUI is important as we continue to grow. Additionally, the AI capabilities have been somewhat unstable and unintuitive to use, which is key for increasing adoption. One other thing is that the detection logic builder today is somewhat limited in flexibility regarding implementing detections, grouping detections together, and handling alerts when they fire. This might be partly due to our need to adjust to a different platform, but flexibility is key for any enterprise platform to meet our unique business requirements. Having the capability to build custom detection logic not tied to a specific structure would be helpful; although a lot can be done, it often requires working with our account team which is time-consuming and less intuitive.
