Securiti
Time
2024 - 2026
Role
UX design
Visual design
Design system
Icons
Securiti enables the safe use of data and AI by giving companies clarity and control over data across hybrid cloud systems. Acquired by Veeam for $1.7B.
At Securiti, I contributed across core platform systems, shaping complex enterprise workflows and scalable UX foundations.
Working closely with product and engineering teams, I translated technical infrastructure into structured, clear, and intuitive experiences aligned with enterprise requirements — while keeping users at the center of every decision.
Key areas I worked on at Securiti
AI Agents & Tracing
I designed Agentic Traces as part of Gencore AI, an enterprise platform for governed AI systems. Agentic Traces provides a transparent execution view of AI agents, allowing organizations to see how responses were generated, which tools were used, how many LLM calls were made, token consumption, and overall performance metrics.
The goal was to transform complex backend orchestration into a clear, structured interface that supports debugging, compliance audits, and cost monitoring. By making AI execution inspectable and auditable, this work helped strengthen enterprise trust in AI adoption.
Agent Traces dashboard alongside the agent creation flow
Agent trace response breakdown with the Tool Calls and LLM Generation tabs shown
Reporting Dashboards
I worked on key dashboards within Securiti that provide enterprise-wide visibility into AI risk, security posture, consent usage, and data relationships. These interfaces consolidate complex, multi-source datasets into structured visual summaries.
My focus was on designing scalable information architecture for high-density analytics, enabling executives and governance teams to quickly assess risk exposure, track performance over time, and navigate interconnected data assets.
Data and AI security overview dashboard
Conset usage metrics dashboard
Universal data explorer dashboard
Privacy Notice Management
My most notable work was the Privacy Notice Builder. The existing experience was form-heavy and rigid, making it difficult for users to simply write and publish privacy notices. Based on user feedback, I helped shift the experience to an editor-first approach that allowed users to focus on creating and managing content naturally, while compliance requirements were handled in the background.
Privacy notice dashboard and notice editor screens
Privacy notice editor, snippet model, insert block model, and notice filteration screens
some core menus, models, and panels from privacy notice module
Discovery Scan Schedules
Another critical area I worked on was Discovery Scan Scheduling, a feature essential for keeping sensitive data discovery accurate and up to date. Previously, scans had to be triggered manually or managed inconsistently, which led to outdated insights and increased operational effort for customers.
My role was to take the initial feature concept and turn it into a fully functional, intuitive scheduling experience that allowed users to automate recurring scans with confidence. I went through multiple design iterations, conducted internal testing with stakeholders and cross-functional teams, and refined the flows based on feedback.
Throughout the process, I worked closely with engineering to ensure the solution was technically sound, scalable, and aligned with existing platform patterns—ultimately shipping a feature that reduced manual effort and improved data visibility for customers.
Discovery scans calendar monthly view
Discovery scans calendar weekly view with scan details box
Some core menus, models, and building blocks from discovery scans schedule
Gencore AI Assistant
I contributed to the design of Gencore AI Assistant, a configurable pipeline builder that powers enterprise AI assistants over internal data. I helped structure a modular workflow for data ingestion, preprocessing, vector indexing, retrieval configuration, and LLM safety controls, transforming complex AI infrastructure into an accessible, enterprise-ready setup experience.
The result enables organizations to deploy AI assistants securely, with built-in governance and policy enforcement.
Pipeline and user portal screens from Gencore AI
Pipeline templates experience from Gencore AI
Help Center
I led the design of the Securiti Help Center, where I was given the freedom to move beyond the existing design system. I designed the entire experience from scratch and introduced new visual and interaction patterns that were well received by the team. This work later influenced the broader redesign of Securiti’s design system, with several ideas and patterns adopted across the product.
