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AI incidents start as prompts and end as actions like code edits, SQL writes, workflow changes, yet most playbooks are not ready. This talk willexplain why AI incidents differ, show where classic guardrails miss, and share field-tested steps to prepare now: log model-generated actions, add pre/post-conditions, capture provenance, limit blast radius, and rehearse one AI-native scenario.
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