Box Commons actively engages with federal and international regulatory bodies to shape AI data standards, content provenance requirements, and audio data rights. Below is our complete public comment record.
International Recognition: Box Commons was acknowledged alongside Google, Microsoft, IBM, and Salesforce in Singapore's Model AI Governance Framework for Agentic AI for our work on behavioral safety credentialing and content provenance standards.
Federal — NIST
Five observations on strengthening NIST's evaluation framework as results increasingly inform third-party credentialing, regulatory compliance, and insurance underwriting.
March 2026 · National Institute of Standards and TechnologyRecommendations on behavioral safety credentialing, identity verification, and authorization frameworks for autonomous AI agents.
March 2026 · NIST National Cybersecurity Center of ExcellenceResponse to the Center for AI Safety and Innovation's request for information on AI agent security standards and data provenance requirements.
March 2026 · NIST CAISIFederal — Other Agencies
Addressing AI-related reputation risk in banking supervision and the role of third-party credentialing in financial institution compliance.
April 2026 · Board of Governors of the Federal Reserve SystemAnalysis of federal acquisition regulation changes and implications for AI data provenance in government procurement.
April 2026 · Federal Acquisition Regulatory CouncilState
Addressing AB 566, AI systems processing opt-out signals, the verification gap, and independent third-party credentialing as a scalable compliance pathway.
April 2026 · California Privacy Protection AgencyInternational
Five recommendations on strengthening Singapore's agentic AI governance framework through behavioral safety credentialing and international interoperability.
April 2026 · Infocomm Media Development Authority (Singapore)