Préparation IA · Public sector
Where does your federal, state, or local agency stand on AI readiness? Our public-sector bank aligns with the White House AI Executive Order, FedRAMP data-handling expectations, FISMA controls, and DoD IL impact-level concepts.
Nos références
Sector-specific overlays on top of the generic 35-question bank — so the findings speak the language your public sector reviewers already use.
Inventory, impact-assessment, and high-risk use-case questions echo OMB M-24-10 expectations.
Vendor questions reference FedRAMP authorisation boundaries for AI services.
Governance items reference the control families most often cited during AI deployments.
Every recommendation maps to Govern / Map / Measure / Manage.
Exemples de questions
Here's the kind of thing you'll answer in the public sector bank. Full assessment is 3× longer — still under 10 minutes.
Do you maintain a public-facing AI use-case inventory compliant with OMB M-24-10?
Have you classified each AI use case against rights-impacting and safety-impacting thresholds?
Do you require FedRAMP authorisation for third-party AI services that touch agency data?
Ce sont des exemples. L'évaluation réelle adapte les suivis selon vos réponses.
Questions fréquentes
Yes — governance questions reference M-24-10 inventory and impact-assessment obligations, and recommendations are tagged accordingly.
Yes — the infrastructure and governance pillars include vendor and data-residency questions that tie back to FedRAMP Moderate / High expectations.
Yes — the framework is useful for any US public-sector body. Only the FedRAMP-specific recommendations scale down for non-federal bodies.
Banque Public sector
Sector overlays apply automatically. The result is a score, a peer benchmark and the three moves you can make this quarter — tagged to the frameworks your reviewers already track.