Project Overview

Lexentry partnered with ISE students to create a cutting-edge GenAI-powered system for detecting GDPR violations across internal corporate channels. This innovative solution leverages artificial intelligence to identify potential privacy & compliance issues.

Core Capabilities

1. Automated Detection: AI-powered identification of GDPR violations
2. Real-time Monitoring: Continuous compliance monitoring across configurable systems: Exchange mail, Slack, Google Workspace
3. GDPR Violation Assessment: Capability to detect Article 9 GDPR violations
4. Flexible Compliance Reporting: Ability to configure enabling and disabling of specific GDPR articles
5. NFRs: Security, Scalability and Extensibility

Technical Architecture

The system was developed using:

1. Large Language Models (LLMs) for text analysis
2. C# Backend with .NET packages
3. API.NET and API SDKs
4. Inspection and detection engine written in Python with Dagster data orchestration
5. Front end: TypeScript, Next.js, tailwind, and pnpm

Impact

The system has significantly reduced manual compliance review time while increasing accuracy in identifying potential GDPR violations, helping organizations maintain robust data protection standards.