How can synthetic data be utilized to improve cybersecurity defenses?

Synthetic data can be used to train systems and enhance cybersecurity defenses by generating artificial data that mimics real data patterns without containing sensitive information. This synthetic data can help in testing models, algorithms, and systems without the risk of exposing sensitive data to potential breaches. By using techniques like data anonymization, generative adversarial networks (GANs), or differential privacy, synthetic data can be created in a way that retains the statistical properties of the original data while ensuring that no personal or sensitive information is included. This allows for robust training of cybersecurity systems while maintaining data privacy and security.