Generate Privacy-Guaranteed Synthetic Data for Training/Evaluating LLMs
Inject realistic PII into training data to stress-test LLMs and quantify leakage rate
When it comes to language models, data masking doesn’t quite cut it. Here's why
Findings from privacy expert David Zagardo reveal PII leakage risks when fine-tuning are very high, reporting a 19% PII leakage rate.
Without proper safeguards, LLMs can expose PII, leading breaches and costly fines
Unlock insights with confidence using Secludy’s synthetic data platform.
Data masking is no longer effective in protecting sensitive data when working with language models. Here's the truth behind it.
