What this course teaches
Secure GovCon AI requires data boundaries, review controls, citation trails, and a deployment posture appropriate for sensitive federal work.
The lesson focuses on safe usage patterns, workflow design, review expectations, and the artifacts a team should inspect before relying on AI-assisted work.
Workflow checklist
Identify whether the workflow can include CUI or procurement-sensitive data. Confirm tenant isolation, retention, logging, and model/provider policy.
Identify whether the workflow can include CUI or procurement-sensitive data. Confirm tenant isolation, retention, logging, and model/provider policy. Review output handling before moving content into official artifacts. Document where citations and audit logs live.
Common failure modes
Teams should watch for wrong boundary, unreviewed sensitive data, unclear retention or logging policy.
Academy courses should make failure modes explicit so buyers know what to review, when to escalate, and what should never enter an official record without human judgment.