"C2PA Content Credentials: Engineering Provenance for AI-Generated Media"
Modern media pipelines need more than watermarking or AI detectors—they need verifiable, tamper-evident provenance that survives real distribution channels. This book is written for experienced engineers, security architects, and platform teams who must design trustworthy "Content Credentials" into creation tools, AI workflows, and large-scale publishing systems. It begins by separating what provenance can guarantee (integrity, origin claims) from what it cannot (truth, semantic authenticity), grounding every design choice in concrete threat models and real-world failure modes.
You'll dive deep into the C2PA ecosystem and data model: manifests and manifest stores, provenance graphs with ingredients and composition, assertion design and disclosure engineering, and the binding and packaging strategies that make claims resilient across formats and transformations. The book then turns to cryptographic and operational reality—COSE signatures, X.509 identity, key management, and trust policy—before building product-grade validation pipelines with deterministic outcomes, observability, and interoperability strategies for unknown or future assertions.
Expect an implementation-first, systems-level treatment with decision frameworks, survivability playbooks for social/CDN/DAM pipelines, and version-aware guidance for rolling out C2PA safely at scale. Familiarity with applied cryptography, X.509, and production media workflows will help you move faster.
