Verifiability is the ability to confirm a result against evidence or records. In cyber security, it means an output, event, or decision can be checked using logs, signatures, audit trails, configuration history, or other trusted data sources. A result that is not verifiable may be correct, but it is hard to prove that it is correct.
This matters because attackers often try to hide what happened or forge proof that a system behaved normally. Good verifiability helps defenders detect tampering, trace unauthorized changes, and challenge suspicious automated outputs. In AI systems used by public agencies or enterprises, verifiability depends on recording inputs, model versions, prompts, rules, and human review so the final answer can be reconstructed. Without that evidence, an official-looking response may be difficult to validate, which weakens trust and makes abuse harder to spot.