Mindgard
Empowering enterprise teams to build safer AI systems through greater visibility and control.
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problem
As enterprises adopt AI, they face security challenges that traditional tools cannot address. Vulnerability data is often complex and difficult to act upon, especially for users without deep AI expertise. The challenge was to make AI security accessible and actionable, guiding teams through prioritisation and remediation so they could confidently respond to risks. Without a clear framework, teams often struggled to understand which issues were critical, leading to delayed or inconsistent responses.
solution
Mindgard AI is a security product that helps organisations identify, assess, and mitigate AI risks. I led product direction, brand identity, and UX across web, CLI, and Burp Suite, designing dashboards, visualisations, and guided workflows that translate technical findings into clear, prioritised actions. These improvements reduced decision friction and cut triage time significantly, enabling teams to move from discovery to remediation in hours rather than days, while making AI security approachable for all users.
Working as the sole designer on a cross-functional team of engineers, researchers, and leadership, I acted as the bridge between complex R&D findings and usable product workflows. My focus was on translating deep technical insights into intuitive interfaces and actionable experiences. This meant designing dashboards, visualisations, and guided workflows that allowed teams with varying AI expertise to assess, prioritise, and resolve vulnerabilities efficiently. By ensuring clarity and usability at every step, I helped make AI security approachable without compromising technical depth.

My role extended well beyond traditional product design. I contributed directly to front-end development, shaping responsive interfaces across web, CLI, and Burp Suite. I also developed brand identity and visual language, created motion and video assets, and explored AI-assisted prototyping to accelerate feature iteration. This hands-on involvement across multiple disciplines allowed me to influence both the product’s form and function, ensuring consistency between design vision and technical implementation.
The project broadened my perspective on what it means to design for emerging technologies. Navigating the intersection of research, engineering constraints, and business priorities reinforced the importance of human-centred design in high-stakes, technical domains. It was rewarding to see thoughtful design translate into measurable impact: teams could complete AI risk assessments faster, with greater confidence, and with less reliance on prior expertise. Mindgard AI demonstrated firsthand how clear, accessible design can demystify complex systems and make AI safer at scale.
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