Continuous fuzzing is the automated, repeated running of fuzz tests as code changes, so new crashes and edge cases are caught early. A fuzzer feeds malformed, unexpected, or random inputs into software and watches for failures. In a continuous setup, that work is wired into CI/CD, scheduled jobs, or a hosted service so testing never stops after one campaign.
This matters in cyber security because many high-impact bugs hide in parsers, file handlers, network services, and native code. Continuous fuzzing helps teams find memory corruption, denial-of-service conditions, and logic errors before attackers do. Defenders use it to validate patches, monitor regressions, and keep high-risk components under constant pressure. Attackers benefit from the same bug classes, so making fuzzing ongoing turns discovery into a defensive habit instead of a one-time exercise.