Clearly AI's automated threat modelling is the security feature developers actually need, not another scanner

Upload your code or architectural files and the platform generates C4 diagrams, data flow maps and web sequence diagrams automatically, then identifies vulnerabilities based on STRIDE analysis of the specific data flows. The customisable company knowledge base grounding the analysis in your actual organisational context rather than generic frameworks is the quality differentiator.

Rivian cutting their privacy impact assessment backlog by up to 90% and reducing review time from weeks to hours is the outcome number that shows what the platform is capable of at scale. That is not a marginal improvement.

The interactive security chatbot that uses the knowledge base to help security engineers prioritise high-risk projects is the ongoing operational tool rather than a one-time audit capability.

For development teams shipping in regulated environments: what is the current gap between your development velocity and your security review velocity? Is threat modelling the bottleneck or is it something further downstream?