Evidence integrity means preserving and demonstrating that digital evidence has not been changed in a way that undermines its reliability. Investigators use safeguards such as write-protected acquisition, cryptographic hashes, access controls, and documented chain of custody to detect or prevent unauthorized changes.
Integrity matters because forensic findings must be traceable, reviewable, and defensible. In an investigation, analysts can compare hashes of collected files with later copies and record who handled evidence and when. When AI tools summarize logs or classify artifacts, preserving the original data and documenting the tool, version, output, and human checks helps reviewers verify conclusions. A confident result is not proof unless it can be checked against trustworthy evidence.