DigiCert’s whitepaper outlines a trust framework for AI, emphasizing cryptographic proof for models, agents, and content. It promotes model signing, AI bills of materials (BOMs), C2PA integration for content authenticity, and PKI-based credentialing. AI systems must be transparent, governed, and continuously verified. Use cases span finance, healthcare, media, and manufacturing. Regulatory standards like the EU AI Act and NIST AI RMF require verifiable model lineage and governance. DigiCert proposes scalable tools like AI Assist to automate compliance and establish trust across the AI lifecycle.

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