Protocol introduces a zero-trust architecture to secure generative AI workflows, indicating enhanced governance and integrity.
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.
No takes yet. Share an insight, caveat, or question.
Mert Kerem Salman (2026) studied this question.
Synapse has enriched 5 closely related papers on similar clinical questions. Consider them for comparative context: