Making complex security investigations easier to understand.
Disclaimer
This project involves confidential product information, so I'm unable to publish detailed screens, interactions, or internal workflows.
I'm happy to discuss my design approach, decisions, trade-offs, and learnings in a one-to-one interview. Where confidentiality permissions allow, I can also provide a deeper visual walkthrough.
TL;DR
The problem
A powerful AI cybersecurity platform had an experience that customers found difficult to navigate and understand.
My role
As the sole designer, I helped rethink the core product experience, from navigating security alerts to understanding AI investigations and making informed decisions.
The outcome
The redesign received strong positive feedback from early paying customers. Customers who struggled with the previous experience recognized it as a significant improvement, particularly appreciating the clarity and depth of information provided.
Powerful AI. Complicated UX.
Security analysts make critical decisions based on complex information.
Our product used AI to investigate security threats, but the interface wasn't doing enough to make those investigations understandable.
" The challenge wasn't just presenting information. It was helping analysts understand what mattered, why it mattered, and what to do next."
Designing for clarity without losing depth.
I focused on three connected problems.
01 / Finding what matters
Making security alerts easier to navigate.
Rethought the Alert Queue experience through clearer information hierarchy, improved filtering and search, and contextual previews.
02 / Making AI explainable
Helping analysts understand the reasoning, not just the result.
Restructured the investigation experience around conclusions, hypotheses, findings, and supporting evidence, allowing analysts to explore the details behind AI-generated assessments.
03 / Turning insights into decisions
Connecting investigations to meaningful next steps.
Refined the presentation of verdicts, recommended actions, and supporting context to make the investigation experience more actionable.
Designing a moving target.
This wasn't a linear redesign.
As the product evolved, so did our understanding of the problem.
Customer feedback, security research input, changing requirements, and technical constraints drove repeated iterations across the experience.
Some of the most important improvements emerged not from the first design, but from challenging and refining earlier decisions.
"The real challenge was maintaining a coherent experience while the product was constantly evolving."
A redesign customers noticed.
At the time, the startup was working with a small group of paying customers.
The response to the redesigned experience was strongly positive.
Customers who had previously struggled with the interface described the new direction as a substantial improvement. They especially appreciated the information available to support investigation and decision-making.
It wasn't a perfect solution. Their feedback also revealed opportunities to improve it further.
But it was a meaningful step toward making a complex product more understandable and useful.
What I learned
Building a product in a new and complex domain taught me something important.
Good enterprise UX isn't about removing complexity. It's about making complexity manageable.
As the sole designer, I worked across information architecture, interaction design, prototyping, design foundations, and implementation QA.
The experience reinforced the importance of understanding the domain, collaborating closely with technical teams, and continually improving the product through feedback.
