01 — Incubated Startup
Cloudnosys
Cloud Security & Compliance
What They Do
Protect your cloud infrastructure from security threats, data loss and compliance risks with real time monitoring, auditing, and automated remediation.
How I Collaborated
I designed and developed an enterprise-grade, scalable application and helped build out a specialized team, staying involved across every department until the startup reached maturity and market validation.
- Client
- Cloudnosys
- Industry
- Cloud Security
- Services
- Website UI/UX Design
- Timeline
- 3 Weeks
- Year
- 2026
- Tools
- Figma, Illustrator, Photoshop
(01)
Overview
Cloudnosys uses an AI reasoning engine to deliver real-time visibility, risk insights, and intelligent remediation across AWS, Azure, and GCP. The website revamp turns that depth into a clear story.
- 3
- Cloud platforms covered: AWS, Azure and GCP
- 3
- Core capabilities to explain at a glance
- 3
- Weeks from brief to launch
(02)
The Challenge
Modern cloud environments create risk everywhere. The website had to help security teams see every risk and stay in control from the very first screen.
- 01
Complex Cloud Risk
Vulnerabilities, misconfigurations, identities, permissions, and exposed services create security risks across modern cloud environments.
- 02
Limited Context
Individual findings can be difficult to prioritize without understanding how resources connect and where an attack path could lead.
- 03
Continuous Security Demands
Security teams need to monitor risk, maintain compliance, and respond as cloud environments change.
(03)
The Approach
Three ideas carry the story: visibility, attack paths and guided action — each one explained simply and shown through the product.
- 01
Full Cloud Visibility
Cloudnosys scans AWS, Azure, and GCP for vulnerabilities, misconfigurations, CVEs, and malware insights.
- 02
Attack Path Intelligence
Connected cloud resources are mapped to reveal weak links, lateral movement, and critical attack paths.
- 03
AI-Guided Action
Cloudnosys prioritizes risk, supports investigation, and guides remediation through AI-powered security intelligence.
Selected Screens
(04)
Process
Design Process
- 01
Empathise
Interviews · User Research · Competitor Analysis
- 02
Define
Strategy · Problem Statement · User Persona
- 03
Ideate
Brainstorming · User Flow · Info Architecture
- 04
Prototype
Sketch · Wireframe · UI Design · Prototype
- 05
Test
Usability Testing · Implement Feedback
Timeline
- Week 1
Understand
Problem and Goals
- Week 2
User Research
Benchmarking, User Interviews, Online Survey
- Week 3
Ideation
Userflow, Sketches, Wireframes
- Week 3
Design
UI Design, Prototype
- Week 4
Launch
Feedback, Reviews
(05)
Audience
Primary Persona
Arshad Khan
Cloud Security Lead
Arshad is responsible for visibility, risk prioritisation and continuous compliance across AWS, Azure and GCP, working closely with DevOps and engineering teams.
Analytical and detail-oriented / Proactive about security risks / Values automation and efficiency / Data-driven
Goals
- 01Gain visibility across AWS, Azure, and GCP
- 02Identify critical cloud risks
- 03Understand connected attack paths
- 04Prioritize security findings
- 05Maintain continuous compliance
- 06Improve remediation response
Pain Points
- 01Large volumes of security findings
- 02Limited context around individual risks
- 03Complex cloud relationships
- 04Misconfigurations and exposed services
- 05Changing compliance requirements
- 06Time spent investigating incidents
(06)
Design System
Colour
#1097FF
#1552C4
#000207
#000000
#FFFFFF
Typography
- ArchivoRegular · Medium · Bold
Layout Grid
- Desktop1440px · 11 columns · 28px gutter · 80px margin
- Tablet744px · 9 columns · 20px gutter · 64px margin
See every cloud risk. Stay in control.