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Remediation order in multi-gate AI systems can fundamentally alter decision outcomes, revealing critical vulnerabilities in evidence trustworthiness.
Metadata defects can silently cost agentic AI systems 60% in erroneous actions, but a new gating mechanism can fully recover these losses.
