Mnemosyne Protocol v1.7.1: Deterministic Governance and Zero-Trust Pipelines
Mnemosyne Protocol v1.7.1: Deterministic Governance and Zero-Trust Pipelines
The rapid adoption of Generative AI has introduced ungoverned probabilistic generation risks to enterprise workflows. Current paradigms operating as untrusted "black boxes" fail to provide IP protection and supply-chain integrity. The Mnemosyne Protocol introduces a zero-trust, fail-closed architecture via an auditable Policy-as-Code layer. Visual compliance is cryptographically secured via Merkle Tree constructs, transforming AI swarms into mathematically chained, high-volume labor units under sovereign human authority. Formatting + schema hardening; no semantic changes.
Media Production, IP sovereignty, Verification, Mnemosyne, Production Pipelines, Inverse Context Flow, Multi-Agent Systems, Generative AI, MCP, Protocol, AI Orchestration, Contextual Fragmentation, Continuity
Media Production, IP sovereignty, Verification, Mnemosyne, Production Pipelines, Inverse Context Flow, Multi-Agent Systems, Generative AI, MCP, Protocol, AI Orchestration, Contextual Fragmentation, Continuity
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