Created an AI Tools monitoring feature to allow organizations to monitor threats among their AI tool implementations.
This was a 0-1 project where we created a feature to monitor various AI tools usage and threats. We needed to create this as part of our presentation for RSA, and were under a tight deadline. For this project, I tried to use as much of the design system as possible to speed design work, then create design system updates as needed when a component or token did not meet our need or was in conflict of the use case. I built the page on a layout framework we wanted to mirror to other features as we brought them up to a more unified UI, and expand to dashboard improvements.
To begin I worked with my PM and EM to define the JTBDs and begin mapping data points to the page layout with rough whiteboard exercises.
I would also investigate AI tool documentation to look for data point overlaps in order to build a structure and standardize data monitoring. One issue we encountered is that AI tools do not have any meaningful standardized datapoints so we opted to keep monitoring to more surface level metadata and investigate these deeper data in a future iteration.
I began to build out a framework for page content and would then iterate on data visualizations. We wanted to create a more standardized dashboard framework and we used this project as a way to build more robust data visual card components which required updates to the design system.
I mapped out our data table over quantitative data we already monitored such as session activity, applications, violations against metrics such as number of occurrences, time, changes over time. This was in effort to begin building updated dashboard components for the design system and use in other parts of the platform.
These are some examples from the data mapping exercise, and below you can see the final product.