Proving Model Provenance EO 14365, NIST AI RMF, and Federal Audit Readiness

Speaker: Chuck McAndrew, Director of Infrastructure Engineering, OpenTeams Original air date: May 28, 2026 Agencies need to prove where their AI models came from and how they behave in production. Chuck McAndrew, Director of Infrastructure Engineering at OpenTeams, explains model provenance and audit readiness under EO 14365 and the NIST AI Risk Management Framework, including AI bills of materials and chain-of-custody tools like Sigstore. Topics covered: How EO 14365 and OMB Memo M-25-21 define high-impact AI systems Why an accurate AI inventory is the first compliance step What belongs in an AI bill of materials Using Sigstore to keep AI artifacts tamper proof Part 3 of the OpenTeams federal webinar series with Carahsoft. 👉 Follow OpenTeams on LinkedIn:   / openteams   👉 New here? Hit subscribe for more federal AI and open source AI content. About Carahsoft: Carahsoft is the Trusted Government IT Solutions Provider, connecting public sector organizations with IT products, services, and training through reseller partners and government contracts. Learn more at carahsoft.com. About OpenTeams: OpenTeams builds open source AI infrastructure so organizations can own their models, data, and compute. Learn more at openteams.com. #ModelProvenance #FederalAI #NISTAIRMF #AIcompliance #GovTech