Shadow AI Risk Scanner '26

Build an Enterprise AI Governance Platform that enables organizations to adopt Generative AI securely without compromising sensitive data.

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Build a secure AI governance platform that detects unauthorized AI usage, prevents sensitive data leaks, and enables safe adoption of Generative AI in organizations.

What you can win

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Overview

Generative AI tools like ChatGPT, Gemini, Claude, Copilot, and Perplexity are transforming the way people work. While these tools boost productivity, they also introduce new security risks as employees unknowingly share confidential business information with public AI platforms. Organizations need a smarter way to embrace AI without compromising security, privacy, or compliance.

The brief

An employee copies confidential source code into ChatGPT to fix a bug. Another uploads a financial report to Gemini for a quick summary. A marketing team uses AI to draft a campaign. Within minutes, sensitive company information has unknowingly left the organization's secure environment.

This is the growing challenge of Shadow AI—employees using public Generative AI tools without proper governance or visibility. Organizations need a way to embrace AI without putting their data, compliance, and intellectual property at risk.

Your challenge is to build an Enterprise AI Governance Platform that helps organizations monitor AI usage, detect sensitive data before it is shared, enforce responsible AI policies, and enable secure adoption of Generative AI.

Answer These Questions: How can organizations identify which AI tools employees are using? How can sensitive business data be detected before it is shared? How can AI usage policies be monitored and enforced? How can leaders measure enterprise AI risks while encouraging responsible AI adoption?

What To Build: Enterprise AI Governance Platform:Build a secure web application to monitor enterprise AI usage and protect sensitive business information. AI Risk & Compliance: Detect sensitive data, analyse AI risks, enforce usage policies, and manage compliance. Executive Dashboard: Visualise AI adoption, risk scores, security insights, and compliance metrics. Secure & Scalable System: Implement secure authentication, role-based access, APIs, and an enterprise-ready architecture.

One Sentence: Complete this statement:"The moment my platform prevents confidential business data from reaching an unauthorised AI tool is...

Deliverables

Working Enterprise Web Application (Mandatory)
Product Demonstration Video (5–8 Minutes)
Technical Documentation
Business Case Study
GitHub Repository
Architecture Diagram
Database Schema

Evaluation criteria

AI Governance Solution (30%): Does the platform effectively identify AI risks, protect sensitive data, and enable secure AI adoption?
Product Design & Implementation (30%): Is the application secure, scalable, user-friendly, and technically well-built?
Innovation & Business Value (20%): Is the solution practical, innovative, and valuable for real-world enterprise use?
Documentation & Presentation (20%): Are the demo, documentation, GitHub repository, and overall presentation clear, complete, and professional?