Q171 - How_does_RAIDT_support_incident_response_and_continuous_impr
Q171 — How does RAIDT support incident response and continuous improvement?
← RAIDT · Star S9 - Policy, Standards and Assurance · primary item: S9.10 · Incident response
Appears in sources
integrated_82#Q4.21
Answer
RAIDT supports incident response and continuous improvement by turning each consequential run into an inspectable governance record and then making repeated records comparable over time. The papers are explicit that run-level evidence is not only a review artefact but also a learning artefact. Because RAIDT aligns run as the unit of governance with the unit of operational use, organisations can compare similar incidents across teams, tools, or suppliers instead of relying on narrative post-mortems. This is important for management review, internal audit, and post-deployment monitoring, all of which require organisations not only to investigate failures but to show how monitoring and corrective action improve the system in use.
The mechanism for continuous improvement is the score profile across the five pillars (Responsibility, Auditability, Interpretability, Dependability, Traceability), interpreted through anchors 1=missing / 3=partial / 5=audit-ready. Those anchors allow reviewers to distinguish absent evidence from acceptable low-risk practice and from audit-ready control operation. Repeated low or mid scores reveal patterned weaknesses: for example, weak Auditability when prompt versions are not preserved, weak Dependability when repeat-run variance is high, or weak Traceability when retrieval snapshots are missing. The papers further note that influence methods as governance interventions should be logged and recalibrated, because changes in prompting, retrieval, or alignment can materially alter governance performance. RAIDT therefore supports a full improvement loop: incident reconstruction, diagnosis of weak controls, calibrated remediation, and later re-scoring to test whether governance has genuinely improved rather than merely been redescribed.
Practical example
A security team uses GenAI repeatedly to triage malware alerts. After two disputed recommendations in a quarter, internal audit samples runs and finds a pattern: several cases score 3 on Auditability and 2-3 on Traceability because retrieval snapshots from the approved threat-intelligence source are inconsistently stored, while Dependability varies across repeated runs. Using the RAIDT anchors 1=missing / 3=partial / 5=audit-ready, the team can show that the issue is not a single analyst error but a recurring control weakness in the workflow design.
Corrective action is then specific. The team updates the orchestration layer to store retrieval snapshots and hashes, fixes the structured prompt so uncertainty must be stated, adds repeat-run stability checks for high-severity alerts, and requires analyst sign-off when pillar scores fall below threshold. In the next review cycle, later runs show a stronger score profile, and incident investigations are faster because the evidence pack is complete enough for reconstruction and challenge. That is continuous improvement grounded in evidence rather than assertion.
Sources in RAIDT papers
14-RAIDT-Policy-Motivation_M_v1116-RAIDT-Audit-Accountability_M_v0510-RAIDT_Policy_Pathways_M_V50