Enabling vulnerability detection in cybersecurity with YData Fabric

Data quality and synthetic data plays a crucial role in improving cybersecurity threat detection by addressing data scarcity, diversity and imbalance. By generating high-quality, balanced datasets, organizations can enhance machine learning performance and accurately detect underrepresented attack types. Ensuring the consistency and relevance of features while maintaining privacy compliance is vital for robust threat detection systems.