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Nullify Ai
Overview
Nullify AI is an AI-driven security platform embedded in modern engineering workflows. It automatically identifies, triages, and prioritises vulnerabilities, enabling teams to remediate risk without slowing development.
Context
I joined to deliver a UI refinement, but quickly uncovered a deeper issue: users had difficulty proofing the automated triaging. The platform was technically powerful, but the reasoning behind risk prioritisation wasn’t clearly surfaced.
In security tooling, automation without transparency creates hesitation.
Role
Designed the UX and interface refinement for explainable automation across core vulnerability triaging flows.
Designed:
Information hierarchy and prioritisation display
Remediation and triage workflows
State management consistency across modules
Worked closely with engineers to align UX logic with backend algorithms and risk models.
Problem
Nullify AI’s automation was technically strong — but information was overwhelming which made it less actionable.
Automated triaging felt opaque: users couldn’t easily see why certain vulnerabilities were ranked higher than others.
High-signal indicators sat alongside dense, technical data, creating cognitive overload.
Without structure or supporting context, automation appeared arbitrary, even when correct.
In the domain of security, this created a paradox: the smarter the system became, the less human control users felt. The challenge was to build an interface that conveyed why it’s confident — not just that it is.
Project Constraints
Security data is both high-stakes and complex — any interpretation error could undermine credibility.
Balance depth & simplicity
Oversimplifying risk logic would erode confidence.
User Bandwith
Surfacing too much technical data would overwhelm, requiring more work to decipher.
Scalability
The redesign needed to support upcoming features and evolving complexity of filtering and goals.
Clarity & Prioritisation
Security data is high-stakes and inherently complex.
This demanded a careful balance of transparency, usability, and depth.
Strategy
I anchored the redesign around four guiding principles:
Make intelligence visible — show how conclusions are derived, not just the end state.
Structure information for triage — prioritise comprehension over completeness.
Design for progressive depth — quick clarity first, then technical traceability on demand.
Collaborate on truth, not aesthetics — work with engineering to ensure UX never misrepresents logic.
Interventions
Outcome
What began as visual polish became foundational to how users understood and trusted the platform.
Reframing the work around trust and clarity. The restructuring of the information hierarchy done with the team, allowed us to separate high-level risk signals from deep technical detail.
Progressive disclosure patterns, quick scanning and accessible due diligence clarified remediation pathways, and created more meaningful user actions across core flows.
Reinforcing Nuliffy’s value of streamlining security.
The result was a product experience that felt authoritative rather than overwhelming. New and existing partners responded positively to the redesigned flows, confidence in automated triaging improved, and the work expanded into onboarding and first-use experience.
Impact
(3)
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