Differential privacy is a method that allows organizations to analyze data without exposing individual details.It ensures that even if someone knows a lot about a dataset, they can’t identify specific people within it.Differential privacy significantly reduces re-identification risks by making it mathematically difficult to determine individual data points.Differential privacy has real-world benefits for enterprises, researchers, and governments, such as stronger privacy protection and legal compliance.