The mosaic effect in cybersecurity refers to the risk that arises when multiple sets of seemingly non-sensitive or anonymized data are combined, resulting in the unintentional disclosure of sensitive or identifying information. Even if each dataset alone does not reveal private details, their aggregation can create a more complete picture, potentially exposing confidential data. This effect is particularly concerning in data sharing, open data initiatives, and privacy protection, as it demonstrates that anonymization is not always foolproof. Organizations must consider the mosaic effect when releasing or sharing data to ensure that privacy is maintained and sensitive information is not inadvertently disclosed.