This session on trust and provenance features three presentations tackling identity protection and content authenticity. The first, from BBC R&D, presents AI-driven visual anonymisation that preserves human performance and emotional nuance while protecting contributor identity in documentary production. The second, from EZDRM and Fraunhofer FOKUS, introduces a viewer-specific encryption overlay that adds a second cryptographic layer above existing DRM streams, closing a shared-key vulnerability. The third, from Dawn Technology, the Netherlands, offers a standardized, vendor-neutral framework for embedding C2PA provenance metadata across newsrooms of any size, addressing deepfake and misinformation risks.

Presented Papers:
'AI driven anonymisation that preserves human performance' - BBC Research & Development, UK
'Precision envelope management: Edge assisted key rotation for OTT streaming at scale' EZDRM NY, USA and Fraunhofer FOKUS, Berlin, Germany
'Fighting misinformation through open-source C2PA integration into news production' - Dawn Technology, The Netherlands

Supporting Papers:
'Dynamic streaming content packaging with C2PA' - Unified Streaming, Netherlands
'C2PA for live video: Scalable per-segment signing and continuity validation for real-time content provenance' EZDRM, USA