Unlocking Private AI: Tanya Verma on Confidential Computing, Secure Enclaves, and Tinfoil’s Vision

In this episode of the “New AI Tinkerers Podcast,” Joe sits down with Tanya Verma—co-founder of Tinfoil and fresh admit to Y Combinator—to explore how confidential computing is changing the game for AI privacy and security.

Tanya explains the concept of “secure enclaves,” hardware-based encryption that keeps your data safe even from the cloud provider.

Tanya also discuss real-world use cases for private AI, how open-source models like DeepSpeed Chat stack up, and why privacy is crucial for large-scale adoption of generative AI.

Whether you’re building a high-stakes internal chatbot or just want to keep your personal data secure, this conversation will help you understand how Tinfoil’s technology ensures no one can peek under the hood—not even Tinfoil itself.

Don’t miss their deep dive into the future of confidential computing, agent-based automation, and the challenges of scaling secure AI solutions.

Highlights & Takeaways

• What confidential computing really is—and why it matters

• How Tinfoil is bringing secure enclaves to generative AI

• The trade-offs between on-prem vs. cloud-based AI solutions

• Why open-source models and privacy go hand in hand

• Practical steps for deploying private AI applications at scale

Subscribe for more interviews with builders and visionaries in AI—and get an insider’s look at the next generation of secure and private computing!