AI is moving fast – but trust may be the real bottleneck for enterprise AI adoption.
In this episode of Inside the Silicon Mind, Aaron Fulkerson, CEO of Opaque Systems, explains why confidential AI could become the missing trust layer for enterprise AI.
As companies deploy AI agents and copilots across sensitive workflows, protecting data, metadata, and decision integrity becomes critical.
This conversation explores how confidential AI, confidential RAG, and runtime verification could redefine security, privacy, and trust in the AI economy.
Why this episode matters:
If you are building AI products, deploying enterprise copilots, or handling sensitive data in regulated industries, understanding how trust layers work may become the difference between scaling AI safely or exposing critical data.
In this episode we discuss:
• The three pillars of trust: caring, consistency, and competency
• Why every technology shift requires a new trust layer
• How confidential AI protects enterprise data at runtime
• What confidential RAG means for legal, HR, finance, and healthcare workflows
• Why metadata leakage may be as valuable as the data itself
• The security risks of AI agents and model poisoning
• What founders can learn about values, leadership, and bias toward action
Key topics:
Confidential AI • Enterprise AI security • Confidential RAG • AI data privacy • AI trust layer
Episode Highlights
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