An incident taxonomy is a classification scheme used to group security or reliability events into consistent categories. Instead of describing every problem as a vague “failure,” teams label events by type, such as data leakage, abuse of a tool, unauthorized access, or unexpected model behavior.
This matters because defenders can only compare and analyze incidents when they use the same language. A shared taxonomy makes reports easier to triage, aggregate, and search for patterns across systems and vendors. In AI security, it helps distinguish prompt injection, harmful tool actions, and ordinary software faults, which may require different controls. Attackers also benefit when defenders lack a taxonomy, because inconsistent labels hide repeatable abuse. In practice, incident taxonomies support playbooks, threat sharing, postmortems, and safer redaction of sensitive details while still preserving the technical shape of the event.