From sharing patient data to track diseases in healthcare to comparing transaction data in financial fraud detection, many organizations face the task of comparing their datasets with others to identify common elements. However, this process can expose sensitive data, posing significant security risks. Traditional cryptographic techniques fail to provide a secure method of data comparison while preserving privacy, leading to a compromising trade-off between utility and confidentiality.
Private Set Intersection (PSI) provides an innovative solution to this dilemma. PSI is a cryptographic technique that allows parties to compute the intersection of their datasets without revealing any additional information to each other. This allows for effective data matching and comparison while ensuring maximum privacy, bringing a refreshing approach to secure data handling and analysis in cryptography.