An internal cybersecurity benchmarking and risk quantification platform built during my internship at Commvault.
This project is a web-based Competitive Analysis Dashboard built with React (frontend) and FastAPI (backend).
It was designed to help Commvault’s field and strategy teams benchmark cybersecurity tools across multiple functional domains and quantify risk using ALE (Annualized Loss Expectancy), ARO (Annualized Rate of Occurrence), and SLE (Single Loss Expectancy) models.
The application provides a structured and data-driven framework for evaluating Commvault tools relative to competitors, supporting executive-level decision-making through automated, visual, and exportable reports.
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📊 Domain-Weighted Scoring Framework
Evaluates tools across cybersecurity domains (e.g., Backup & Recovery, Threat Detection, Identity Management) using customizable weights. -
💰 Risk Quantification Engine
Integrates ALE, ARO, and SLE models to measure the financial impact of security threats on assets. -
📈 Competitive Benchmarking
Compares Commvault products against major industry competitors using research-backed scoring criteria. -
📄 Executive Report Automation
Automatically generates comparison summaries and executive-ready reports to streamline field team preparation. -
⚡ Responsive Full-Stack Architecture
Built with a React (Vite) frontend and FastAPI backend, supporting modular APIs and real-time data interaction.
- Developed a quantitative framework for estimating minimum viable asset values within cybersecurity contexts.
- Designed a new scoring methodology aligning technical performance with financial risk metrics.
- Improved clarity and consistency in how competitive insights are communicated to leadership teams.
| Layer | Technologies |
|---|---|
| Frontend | React (Vite), TypeScript, Tailwind CSS |
| Backend | FastAPI (Python), REST APIs |
This repository contains only non-confidential code and documentation.
All proprietary data, internal configurations, and business logic have been removed or abstracted in accordance with Commvault’s confidentiality policies.
- Reduced report preparation time for field teams.
- Enhanced competitive clarity in C-suite discussions.
- Enabled data-driven evaluation of cybersecurity product positioning.