The TechCrunch AI story highlights a critical, and arguably under-scrutinized, layer of AI safety: the operational playbook for when things go wrong after deployment. While companies have focused on pre-deployment testing, their silence on post-breach containment may reflect a legal and reputational calculus as much as a technical gap. In our view, this underscores a broader industry pattern where safety is often framed as a research challenge, not an operational one, leaving customers to assume risks they cannot assess.
The coming regulatory mandates in California and New York will force this issue into the open, likely revealing whether these plans are genuinely underdeveloped or merely undisclosed.