project-1e0d3a4f System Requirements Document

Introduction

This document outlines the system requirements for "project-1e0d3a4f," a SaaS web application named ThreatFlow AI. The application is designed to assist cybersecurity professionals, including Product Managers, Security Engineers, SOC Analysts, and Engineering Managers, with incident triage and decision-making. It integrates features from Linear, Notion, GitHub, and ChatGPT, providing a modern dark UI for a seamless user experience.

System Overview

ThreatFlow AI is an AI-powered Security Incident Triage and Product Decision Assistant. It aims to streamline the process of managing security incidents by providing AI analysis, risk scoring, engineering plans, and comprehensive reporting. The application is tailored for professionals in the cybersecurity domain, offering a clean, modern interface with rounded cards and subtle animations.

Overall Layout

• Left Sidebar

  • Dashboard
  • New Incident
  • Incident History
  • Engineering Plan
  • Architecture
  • Reports
  • Settings

• Main Content Area

  • Top navigation with Search, Notifications, Profile
  • Dashboard displaying KPI cards, Incident Priority Distribution, Severity Pie Chart, Timeline, Latest Incidents, Top Root Causes, Engineering Workload

Functional Requirements as Story Points

• As a Product Manager, I should be able to view a dashboard with KPI cards showing open incidents, critical incidents, average resolution time, high customer impact, and upcoming releases affected.
• As a Security Engineer, I should be able to analyze a new incident by pasting details into a large text area and clicking "Analyze Incident."
• As a SOC Analyst, I should be able to view AI-generated incident details including title, executive summary, severity, confidence score, CVSS estimate, MITRE ATT&CK mapping, potential root cause, affected components, APIs, potential customer impact, business risk, recommended response, estimated engineering effort, and suggested owner.
• As an Engineering Manager, I should be able to generate an engineering plan with recommended fixes, API changes, database changes, infrastructure changes, logging improvements, monitoring improvements, security controls, rate limiting, input validation, encryption, token rotation, RBAC improvements, and secret management.
• As a User, I should be able to view an interactive system diagram on the Architecture screen highlighting affected services in red.
• As a User, I should be able to view an incident timeline with stages such as detection, investigation, containment, fix, deployment, and verification, each with an owner, status, and ETA.
• As a User, I should be able to generate reports including executive summary, engineering summary, customer communication draft, internal Slack update, release notes, and lessons learned.
• As a User, I should be able to search incidents by severity, component, API, customer, owner, and date.
• As a User, I should be able to enable dark mode and select AI providers and models in the settings.

User Personas

• Product Manager: Focuses on product development and strategic decision-making.
• Security Engineer: Specializes in identifying and mitigating security threats.
• SOC Analyst: Monitors and analyzes security incidents.
• Engineering Manager: Oversees engineering teams and project execution.

Core User Flows

• Product Manager views dashboard -> Analyzes incident -> Reviews AI-generated details -> Generates engineering plan
• Security Engineer pastes incident details -> Clicks "Analyze Incident" -> Reviews AI analysis -> Implements recommended fixes
• SOC Analyst monitors incidents -> Updates incident timeline -> Generates reports
• Engineering Manager reviews engineering plan -> Assigns tasks -> Monitors progress

Visuals Colors and Theme

• primary: #000000 (Black)
• primary_light: #333333 (Dark Gray)
• secondary: #800080 (Purple Accent)
• accent: #00FF00 (Green Success)
• highlight: #FFA500 (Orange Warnings)
• bg: #121212 (Dark Background)
• surface: rgba(18, 18, 18, 0.8) (Panel Background)
• text: #FFFFFF (White Text)
• text_muted: #B0B0B0 (Muted Text)
• border: rgba(255, 255, 255, 0.2) (Subtle Border)

Signature Design Concept

Interactive Incident Galaxy

The homepage features an interactive galaxy map where each star represents a security incident. Users can click on a star to open a detailed incident card, drag to rotate the galaxy, and hover to highlight connections between related incidents. The galaxy dynamically updates as new incidents are added, providing a visually engaging and intuitive way to explore incident data.

Landing Hero Motion Brief

The landing page showcases a continuously moving 2D composition where security incidents (represented as stars) gather around a central AI core. As the AI core processes the incidents, it transforms them into actionable insights, which are then displayed as glowing pathways leading to resolution outcomes. This loop runs every 10 seconds, with interactive elements allowing users to click on pathways for more details. The animation is built using motion/react for smooth transitions and responsive behavior.

Interaction Model & Motion Direction

• Intended Interaction Model: Parallax
  • Layered depth via scroll with decorative layers translating at different speeds.
  • Real content stays in normal flow and scrolls naturally.
  • Suitable for a visually rich first impression.

Non-Functional Requirements

• The application must be responsive and perform well on various devices and screen sizes.
• Ensure fast interactions and minimal load times.
• Maintain high standards of security and data privacy.

Tech Stack

• Frontend: React for Web
• Backend: Python, FastAPI
• Database: MySQL or MariaDB
• AI Models: GPT 5.4, Claude Sonnet 5, Gemini 3.1 pro
• AI Tools: Litellm, Langchain
• Local Orchestration: Docker, docker-compose
• Server-side Orchestration: Kubernetes

Assumptions and Constraints

• The application will primarily serve cybersecurity professionals within a company.
• The system must integrate seamlessly with existing tools like GitHub and Slack.
• The application should support multiple AI providers and models for flexibility.

Glossary

• SOC: Security Operations Center
• CVE: Common Vulnerabilities and Exposures
• MITRE ATT&CK: A globally-accessible knowledge base of adversary tactics and techniques
• CVSS: Common Vulnerability Scoring System
• RBAC: Role-Based Access Control

This document provides a comprehensive overview of the requirements for project-1e0d3a4f, ensuring that all aspects of the application are well-defined and aligned with the needs of its users.