Click the tabs to compare the "Hype" approach vs. the Foundational approach.
Generative AI Application
(e.g., Enterprise LLM)
AI models require vast amounts of data to function, constantly pulling from enterprise databases.
🛑 "Top-Down" Governance Software
In the bolted-on approach, expensive compliance tools act as massive filters, analyzing everything right before it hits the AI. This creates a 300+ day bottleneck.
⚠️ Messy, Siloed Enterprise Data
(Unlabeled PII, Unknown Lineage)
Because the core data layer is fragmented, the compliance tool above is forced to work overtime, resulting in legal blocks and failed deployments.