Cybersecurity & AI
Royal Air Maroc — Data Leak Detection Tool
A cybersecurity tool designed to automatically detect sensitive Royal Air Maroc data leaks by analyzing multiple public sources — quickly identifying exposed information and strengthening the company's data protection.
The challenge
Sensitive data can be exposed online without security teams detecting it in time. Manual monitoring of multiple public sources is slow, incomplete and hard to sustain at scale.
Our solution
We developed an automated solution combining intelligent scraping, semantic analysis and an AI classification engine. The system continuously scans public sources, identifies brand-related sensitive information and generates prioritized alerts for rapid response.
Results
- Automatic data leak detection
- Continuous multi-source monitoring
- Prioritized alerts for security teams
- Strengthened sensitive data protection
Services used
CybersecurityArtificial IntelligenceCustom DevelopmentAutomation
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