Aaron Fulkerson, CEO of Opaque Systems, joins Firas Sozan to break down confidential AI, enterprise data security, and the future of trusted AI infrastructure. As companies deploy AI across sensitive data, new technologies like confidential computing and confidential RAG are becoming essential for secure enterprise adoption.
In this conversation, Aaron explains how confidential AI works, why runtime verifiability matters, and what founders must understand about trust, privacy, and human agency in an AI-driven economy.
Quote from the Episode:
“Every major platform shift requires a new trust layer.”
– Aaron Fulkerson
Key Insight:
Confidential AI will become the security foundation for enterprise AI systems.
Episode Description:
Trust is no longer a soft concept in technology.
In the age of AI agents, it is becoming a core infrastructure challenge.
In this episode, Aaron Fulkerson explains why every major platform shift requires a trust layer upgrade, and why enterprise AI adoption now depends on stronger guarantees around:
- data privacy
- policy enforcement
- runtime verifiability
Aaron breaks down how Opaque Systems enables confidential AI, including confidential RAG workflows that allow enterprises to use sensitive legal, HR, finance, and customer data without exposing it in the clear.
We also explore:
- Metadata leakage and hidden competitive risk
- Cryptographic proof and confidential computing
- Performance trade-offs in secure AI inference
- Model poisoning and hidden agendas in AI systems
- The founder mindset required to build high-trust teams
If you are building enterprise AI platforms, AI agents, or data-sensitive applications, this episode provides a practical look at the future of secure AI infrastructure.
We cover:
• Why enterprise AI adoption requires confidential computing
• How confidential RAG protects sensitive organizational data
• The hidden risk of metadata leakage in AI systems
• What runtime verifiability means before, during, and after inference
• The three pillars of trust: caring, consistency, and competency
• Why AI increases the need for human connection, not lessens it
Who this is for:
Founders, operators, investors, and technical leaders building AI products or deploying enterprise AI in sensitive environments.
Key Topics:
• confidential AI
• confidential computing
• enterprise AI security
• confidential RAG
• runtime verifiability
• AI trust infrastructure
• secure AI inference
Technologies and Concepts Mentioned:
- Confidential AI
- Confidential RAG
- Confidential Computing
- OpenAI
- Anthropic
- Apple Private Cloud Compute
- Kubernetes
- H100 GPUs
- GDPR
- HIPAA
- Traction
- The Master Switch, Tim Wu
Related Episodes:
Why AI Is Breaking Our Trust - Gidi Cohen
https://insidethesiliconmind.com/why-ai-is-breaking-our-trust-and-how-to-fix-it-gidi-cohen-ep-19/
What Happens When AI Moves Into Production - Rob Bearden
https://insidethesiliconmind.com/this-is-what-happens-when-ai-finally-moves-into-real-world-production-rob-bearden-ep-16/
AI Agents: What Actually Matters | Leonid Igolnik
https://insidethesiliconmind.com/ai-agents-best-practices-what-actually-matters-intent-testing-context-with-leonid-igolnik/
AI Recruiting: Hiring Engineers for Potential | Joseph Doyle
https://insidethesiliconmind.com/ai-recruiting-with-joseph-doyle-how-to-hire-engineers-for-potential-not-noise-ep-22/
Links and Resources:
Spotify: https://bit.ly/spotify-itsm
Apple Podcasts: https://bit.ly/apple-itsm
Website: https://insidethesiliconmind.com/
Follow the host on LinkedIn: https://www.linkedin.com/in/firassozan/
About the Show:
Inside the Silicon Mind is your masterclass in high stakes innovation, business strategy, and the Silicon Valley mindset. Hosted by Firas Sozan, we interview Founders, CEOs, and Venture Capitalists shaping the future of technology.
