Module 7

Capstone Project

Build a production-ready security tool integrating all learned concepts

Project Overview

Enterprise Security Assessment Platform
A comprehensive tool combining network scanning, threat intelligence, and AI-powered analysis

Your capstone project is to build an Enterprise Security Assessment Platform that integrates all skills learned throughout this course. This tool will perform automated security assessments, generate threat intelligence reports, and provide AI-powered recommendations for your company outsourcing projects.

Core Features

  • Network reconnaissance with Nmap
  • Threat intelligence via Shodan API
  • Vulnerability assessment
  • AI-powered risk analysis
  • Automated reporting

Learning Outcomes

  • Integrate multiple security tools
  • Design scalable architectures
  • Implement error handling
  • Build professional documentation
  • Deploy production applications

Project Structure

Directory Layout
Recommended project organization
python
security-assessment-platform/
├── README.md
├── requirements.txt
├── config.yaml
├── main.py
├── src/
│   ├── __init__.py
│   ├── scanner/
│   │   ├── __init__.py
│   │   ├── nmap_scanner.py
│   │   └── port_analyzer.py
│   ├── intelligence/
│   │   ├── __init__.py
│   │   ├── shodan_client.py
│   │   └── threat_analyzer.py
│   ├── ai/
│   │   ├── __init__.py
│   │   ├── risk_assessor.py
│   │   └── recommendation_engine.py
│   ├── reporting/
│   │   ├── __init__.py
│   │   ├── report_generator.py
│   │   └── templates/
│   └── utils/
│       ├── __init__.py
│       ├── logger.py
│       └── config.py
├── tests/
│   ├── __init__.py
│   ├── test_scanner.py
│   ├── test_intelligence.py
│   └── test_reporting.py
└── docs/
    ├── API.md
    ├── SETUP.md
    └── USAGE.md

Implementation Guide

System Architecture
Design patterns and component relationships

The platform follows a modular architecture with clear separation of concerns. Each component handles specific responsibilities and communicates through well-defined interfaces.

Scanner Module

Handles network reconnaissance using Nmap, parses results, and identifies open ports and services.

Intelligence Module

Gathers threat intelligence from Shodan, analyzes device exposure, and identifies known vulnerabilities.

AI Module

Processes scan results and threat data to generate risk scores and security recommendations.

Reporting Module

Generates professional reports in multiple formats with executive summaries and remediation guidance.

Development Phases

1Phase 1: Foundation (Week 1-2)

Set up project structure, implement basic scanner module, and establish configuration management.

  • Create project structure and dependencies
  • Implement Nmap wrapper class
  • Build configuration system
  • Write unit tests for scanner
2Phase 2: Intelligence (Week 3-4)

Integrate Shodan API, build threat analysis engine, and implement data aggregation.

  • Implement Shodan API client
  • Build threat intelligence analyzer
  • Create data aggregation pipeline
  • Implement caching mechanism
3Phase 3: AI Integration (Week 5-6)

Build AI-powered risk assessment and recommendation engine.

  • Implement risk scoring algorithm
  • Build AI recommendation engine
  • Create vulnerability mapping
  • Implement remediation suggestions
4Phase 4: Reporting (Week 7-8)

Build professional reporting system and prepare for production deployment.

  • Implement multi-format report generation
  • Create executive summary templates
  • Build deployment scripts
  • Write comprehensive documentation

Evaluation Criteria

Code Quality (30%)

Clean, well-organized code structure

Proper error handling and logging

Comprehensive unit tests (80%+ coverage)

Following PEP 8 style guidelines

Functionality (30%)

All core features implemented

Successful integration of all modules

Proper API integration

Accurate security assessments

Documentation (20%)

Clear README with setup instructions

API documentation

Usage examples

Architecture diagrams

Innovation (20%)

Additional features beyond requirements

Creative problem-solving approaches

Performance optimizations

Enhanced security measures

Submission Requirements

Required Deliverables

  • Complete source code on GitHub with clear commit history
  • Comprehensive README with setup and usage instructions
  • API documentation and examples
  • Unit tests with at least 80% code coverage
  • Sample reports generated by the platform
  • Deployment guide and configuration examples
  • Video demonstration of the platform in action

Getting Started

Quick Start Guide
python
# 1. Clone or create your project
mkdir security-assessment-platform
cd security-assessment-platform

# 2. Create virtual environment
python -m venv venv
source venv/bin/activate

# 3. Install dependencies
pip install -r requirements.txt

# 4. Set up configuration
cp config.example.yaml config.yaml
cp .env.example .env

# 5. Run tests
pytest tests/ -v --cov=src

# 6. Run the platform
python main.py --target 192.168.1.0/24 --type full

# 7. Generate report
python main.py --generate-report 1 --format pdf