Fuzzy matching, also known as approximate string matching, is a technique used to find similarities between two or more strings or pieces of data, even when they are not an exact match. It involves calculating a similarity score or distance metric based on various algorithms and heuristics, such as edit distance, phonetic similarity, or token-based matching. Fuzzy matching is widely used in applications like data deduplication, record linkage, and natural language processing.
Overview
Most Viewed Terms
About Symmetry Systems
Symmetry Systems is the Data+AI Security Company. We safeguard data at scale, detect threats, ensure compliance & reduce AI risks, so you can Innovate with Confidence. Our Data Security Posture Management platform is engineered specifically to address modern data security and privacy challenges at scale from the data out, providing organizations the ability to innovate with confidence. With total visibility into what data you have, where it lives, who can access it, and how it’s being used, Symmetry safeguards your organization’s data from misuse, insider threats, and cybercriminals, as well as unintended exposure of sensitive IP and personal information through use of generative AI technologies.