When AI Breaks — The ODA3 Guide to AI Incident Response
AI incidents can be difficult to recognise because a detection signal is not automatically an incident, an incorrect output is not automatically malicious, and response may need to begin before causality, severity or classification is settled. This guide provides a short operational orientation for teams that need to recognise potentially material AI events, preserve evidence and uncertainty, determine what is known, and begin proportionate response. UAIF™ structures incident identity, causality, harm, severity,…
Purpose
AI incidents can be difficult to recognise because a detection signal is not automatically an incident, an incorrect output is not automatically malicious, and response may need to begin before causality, severity or classification is settled. This guide provides a short operational orientation for teams that need to recognise potentially material AI events, preserve evidence and uncertainty, determine what is known, and begin proportionate response. UAIF™ structures incident identity, causality, harm, severity,…
Methodology Note
This guide is introductory and operationally illustrative. ODA3 Institute was founded in March 2026. The guide contains no client outcome data, proprietary telemetry, incident-frequency statistics, or implied deployment history. Examples are hypothetical and are used to explain incident-response reasoning rather than to establish universal thresholds, legal conclusions, severity levels or regulatory duties.
BOUNDARY This guide does not replace an organisation's existing SOC/CSIRT process. It is intended to fit around and enrich existing incident-management practices with AI-specific evidence, uncertainty, classification and response considerations. It does not require a new SIEM, SOAR, case-management platform or proprietary ODA3 tooling.
Use this guide when…
Use this guide when you need practitioner-oriented guidance within the stated UAIF / AI-IRF scope, while retaining the underlying framework, standard and evidence boundaries.
Intended audience: Practitioners responsible for AI governance, security, implementation, evidence or assurance within the guide’s stated scope.
What this guide supports
Structured practitioner understanding and preparation within its stated scope. It should be read with the relevant normative framework and current ODA3 documentation.
Incident sequence: Recognize → Classify with UAIF → Respond through AI-IRF.
What it does not establish
Use of this guide does not by itself establish implementation completeness, control effectiveness, conformity, certification, independent assurance, regulatory approval, legal compliance, ODA3 approval or authorization to use controlled marks.
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Notably Absent
This guide does not prescribe Low/Medium/High severity levels, a declaration rule, a mandatory escalation cadence, or a fixed executive-update interval. Those thresholds and authorities belong in the organisation's own governed incident-response plan. ODA3-2026-08-WHP-COM-011 Page 4 of 13 | ODA3 Pvt Ltd ODA3 Institute | Adoption Guide | When AI Breaks: The ODA3 Guide to AI Incident Response