Data Authenticity

Definition ∞ Data authenticity refers to the verifiable quality of information being genuine, original, and free from unauthorized alteration. Within blockchain systems, cryptographic hashing and immutable ledger entries provide a robust mechanism for proving data integrity. This ensures that records, once stored on the chain, cannot be tampered with or misrepresented, establishing a trustworthy audit trail.
Context ∞ The demand for verifiable data authenticity is increasing across industries, particularly in supply chains, digital identity, and intellectual property management. Blockchain technology is a key component in news reports regarding solutions for securing and validating critical information against fraud and manipulation. The challenge remains integrating off-chain data securely.