Machine translation is an AI system that converts text from one language to another. Modern systems use neural models trained on parallel text, and they can run in the cloud or on a local device. Quality varies by language pair, domain, and input formatting, so translations should be treated as generated output, not perfect truth.
In cyber security, machine translation affects both attack and defense. Defenders use it to read multilingual logs, tickets, and threat reports, but they must protect the translated data, model files, and update channel. Attackers use translation to scale phishing, scams, and social engineering across languages, making messages look more natural to targets. On-device translation can improve privacy by keeping sensitive text off third-party servers, but it also shifts trust to the endpoint, where model integrity, signing, and patching become important.