Data Governance, Not Models, Is the Real AI Bottleneck

81% of enterprises have delayed or abandoned AI initiatives due to data-permission and governance problems, according to 2026 industry reporting. Data lineage and provenance are critical for trust, enabling organizations to track data origin, usage rights, and impact of compromised sources. Without these controls, AI systems risk unauthorized use, leakage, and poisoning that cannot be easily remedied.