AI Risk and Threat Management
CRAGE · 24 questions
- A city SOC briefs the AI board on threats to the 311 GenAI assistant. Which governance-level recognition is most appropriate?
- County threat briefings cover fraud models trained partly on public form submissions. What AI threat should leaders recognize?
- Transit security reviews a proprietary ridership predictor hosted with a vendor. Which risk belongs on the AI threat register?
- Housing analysts build an AI risk taxonomy for an eligibility screener. What category should sit alongside cybersecurity risks?
- A water utility is formalizing AI risk management. Which artifact best captures identified risks?
- Emergency management must prioritize AI risks under limited resources. Which prioritization approach best fits civic public-safety outcomes?
- Courts IT assesses GenAI that drafts clerk responses citing municipal code. Which operational AI risk should be explicitly assessed?
- A library scores risks for a RAG assistant over patron-related corpora. Which risk belongs in the assessment?
- City GRC wants framework structure for AI risks already identified. What mapping best applies NIST AI RMF thinking?
- A county adopts ISO/IEC 42001-aligned AI risk treatment. Which set of options should decision records support?
- Public health threat-models a triage chatbot before launch. Which oversight-level coverage is most appropriate?
- A permitting office analyzes AI system attack surface for governance review. Which inventory is most complete?
- Fire/EMS evaluates risks to computer-vision fire-spotting cameras. Which threat recognition is appropriate at governance level?
- A 311 product risk workshop adapts structured threat modeling to AI. Which approach best fits?
- A utility risk team reviews AI dependencies beyond traditional app CVEs. Which systemic AI risk should they add?
- An elections office rates threats to public communications integrity before election season. Which AI-related risk belongs on the register?
- An assessor’s office evaluates what happens if valuation AI systematically skews one district. Which impact dimensions should the risk assessment capture?
- A parks department still sees known false positives from trail-cam AI after controls. What governance outcome should be logged?
- City GRC adds human review and rate limits to a GenAI service desk. How should risk scores be compared?
- County ERM wants AI risks visible to executives alongside other enterprise risks. What practice best fits?
- A public hospital district ranks AI risks across clinical and administrative tools. Which prioritization is most appropriate?
- Transit reviews what happens if one GenAI vendor outage blocks rider-facing chat. Which risk should be assessed?
- Code enforcement notices construction patterns changing after a new zoning code. Which AI risk should they flag?
- City counsel reviews who must own residual risk statements on the AI risk register. What accountability rule fits?