sameAs is a structured data property that links a page or entity to other official profiles, documents, or pages that refer to the same real-world subject. Search engines and other automated systems use it as a clue that several sources describe one organization, person, or product.
In cyber security, sameAs helps establish identity trust. Defenders use it to reinforce canonical brand pages, reduce confusion between lookalike entities, and improve machine understanding of legitimate assets. Attackers can abuse weak identity signals by creating fake profiles, mirrored pages, or inconsistent names that confuse crawlers and users. When sameAs links are missing or inaccurate, an organization may be harder to verify in search, knowledge graphs, and AI answer systems. Accurate sameAs references support discoverability, attribution, and resilience against impersonation.