Hoxhunt

I conducted a public UX audit, mapped the workflow from Intake to Integration Event, defined design principles and created a connected concept flow of five screens: Threat Intake Queue, Incident Workspace, Investigation View, Remediation Plan, and Integration Event. I focused on reusable patterns, stronger hierarchy, evidence-first AI summaries and clearer analyst control over automation.

This was a speculative concept, so there were no production metrics. Its value was in showing a credible next-step direction: a more decision-first intake experience, a clearer investigation workbench, safer remediation flows and more transparent integration states. It demonstrates how I turn complex operational products into coherent end-to-end systems rather than disconnected screens. This is a quick demo to show rapid research, ideation and planning using ChatGPT. Screens are captured verbatim.

Cybersecurity UX is not about removing complexity. It is about structuring complexity so experts can act quickly and confidently. In AI-supported workflows, trust depends on visible reasoning, clear confidence cues, and strong analyst control. The biggest opportunity here was systemic: building one consistent workbench language across intake, investigation, remediation and integration.