Design Craft / Case Studies / Cybersecurity Incident Reporter
Senior Product Design · Cybersecurity Workflow · Incident Triage

Cybersecurity
Incident Reporter

Enterprise desktop platform · Endpoint monitoring · Incident documentation

A desktop workflow for security analysts, managers, and compliance teams to create, triage, monitor, document, and resolve endpoint incidents. Six defined roles shape permissions, handoffs, and reporting. Artificial intelligence (AI) ranks alerts and surfaces context, and the analyst owns the action. The design works within the limits of an existing analytics dashboard framework.

Screens7
FidelityStrategy + Hi-Fi
PlatformDesktop
DomainCybersecurity
ConstraintExisting analytics dashboard framework
Product FocusAI Triage · Alerts · Analytics
Designer
Philip Jean-Pierre
Discipline
Senior Product Design
Disclosure
Anonymized under a non-disclosure agreement
Anonymized under a non-disclosure agreement. The client, the organization, and the product name are withheld. This page shows the design work and the reasoning behind it without identifying the client.

Product Screens & Design Rationale

3 polished product screens · 4 strategy artifacts
▶  Launch Prototype Review the interactive incident response prototype in a new tab
Group 01

Polished Product Interface Screens

These screens show the product experience first: setup, AI-assisted triage, active incident analytics, task burndown, endpoint telemetry, and structured case documentation.

Setup & AI Triage Dashboard
View Full Size ↗
Product Screen 01
Setup & AI Triage Dashboard
Centralizes setup, permissions, alerts, tags, endpoint risk, and AI-assisted severity scoring so analysts can judge urgency quickly and keep the decision.
Design rationale: AI is decision support, not a black-box authority. The system surfaces risk, context, and priority. The analyst owns the action.
View Full Image ↗
Hi-FiAI TriageDashboardAlerts
Active Incident Analytics View
View Full Size ↗
Product Screen 02
Active Incident Analytics View
Combines device activity trends, task burndown, telemetry, and collections data so analysts can scope an active incident without jumping across disconnected views.
Design rationale: The screen prioritizes scanability under pressure: trend data, task progress, and endpoint activity are grouped around investigation status and next action.
View Full Image ↗
Hi-FiAnalyticsTask BurndownTelemetry
Case Documentation & AI Context Panel
View Full Size ↗
Product Screen 03
Case Documentation & AI Context Panel
Supports structured case documentation with routing tags, draft states, and an AI context panel that surfaces relevant information during write-up.
Design rationale: Documentation is part of response quality, not paperwork after the fact. Case records stay traceable, and the analyst stays in control.
View Full Image ↗
Hi-FiDocumentationAI PanelCase Management
Group 02

Strategy & Workflow Foundation

These artifacts explain the operating model behind the product: how incidents are created, who uses the platform, how the response flow works, and how role-based design shaped the interface decisions.

Incident Creation Flow
View Full Size ↗
Strategy Artifact 01
Incident Creation Flow
Guides analysts through structured incident creation, reducing the chance that critical case details are missed before triage, routing, or escalation.
Design rationale: The flow turns case creation into a guided decision path, not a blank form. Each step captures the minimum context needed for downstream response teams.
View Full Image ↗
Creation FlowAI TriageStep Flow
User Roles & Challenges
View Full Size ↗
Strategy Artifact 02
User Roles & Challenges
Defines the six user roles and the different operational pressures each role brings into incident response, from hands-on investigation to compliance review.
Design rationale: Role modeling prevents the platform from becoming analyst-only. It makes handoffs, permissions, and reporting needs visible before interface decisions are made.
View Full Image ↗
User RolesResearchPersonas
Coordinated Response Map
View Full Size ↗
Strategy Artifact 03
Coordinated Response Map
Maps the coordinated response path from detection through resolution and reporting, giving each role a clear place in the workflow.
Design rationale: Incident response fails when ownership is unclear. This map makes the workflow legible across analysts, managers, technical teams, and leadership.
View Full Image ↗
Response FlowJourney MapRoles
Role-Centered Design Framework
View Full Size ↗
Strategy Artifact 04
Role-Centered Design Framework
Shows how role needs, decision rights, and operational constraints informed the product structure and screen hierarchy.
Design rationale: This framework connects persona-level insight to product architecture, helping the interface support both frontline action and accountability.
View Full Image ↗
Design FrameworkRole AnalysisDesign Strategy

Context & Design Decisions

Complex workflow · AI support · Enterprise roles
Context

Designing for high-pressure incident response

Security teams work across fragmented tools, unclear ownership, time-sensitive alerts, and documentation requirements that cannot be treated as afterthoughts. This design organizes the incident reporting workflow around six user roles, AI-assisted triage, real-time endpoint signals, task burndown, and structured case documentation.

Product Challenge

Make complexity actionable

The design needed to give teams enough signal to act quickly without overwhelming them with telemetry, handoff ambiguity, or opaque AI recommendations.

Design Intent: Workflow

One connected response workflow

Connects incident creation, AI triage, endpoint monitoring, analytics, task status, and documentation in a single flow instead of isolated dashboard views.

Design Intent: Roles

Clear role ownership

Maps the pressures and decision needs of analysts, specialists, managers, compliance leads, and stakeholders so each role has a clear path through detection, response, reporting, and follow-through.

Design Intent: AI

AI that stays accountable

Positions AI as a triage and context layer, not an authority. The analyst retains control while the system surfaces severity, risk, endpoint activity, and recommended next steps.

Design principles for AI in security workflows

Design Strategy

Make ownership visible

Incident response fails when ownership is unclear. The design shows which role owns each step, from creation through escalation and documentation.

Interaction Logic

Reduce ambiguity at handoff points

The experience is designed around moments where incident response can break down: creation, triage, assignment, analytics review, documentation, and escalation.

Interface Approach

Use dashboards as decision systems

The interface work focuses on hierarchy, scanability, risk language, data density, and clear action paths rather than treating dashboards as static reporting surfaces.