Synthetic Data Is Here To Stay, But How Secure Is It?
DARKReading, Friday, June 6th, 2025
Synthetic data offers organizations a way to develop AI while maintaining privacy compliance but requires careful management to prevent re-identification risks and ensure model accuracy.
Data has long been at the heart of nearly every organization. But as organizations adopt increasingly sophisticated artificial intelligence (AI) tools, the challenges around accessing and using high-quality datasets are becoming more apparent.
While many factors can limit an organization's access to data, governance is one of the most common roadblocks holding back AI adoption. Since the introduction of the General Data Protection Regulation (GDPR) in 2018, the need for security and compliance has drastically reshaped how businesses store and handle personally identifiable information (PII).