Confident Security builds a provably private AI inference engine for LLM providers, hyperscalers, governments and beyond

Confident Security, a new technology enabling provably private AI interactions, today announced its public launch with $4.2M in funding. The round was backed by Decibel, South Park Commons, Ex Ante, and Swyx. As AI systems increasingly handle sensitive data, from medical records to legal documents and trade secrets, privacy has become a critical concern. Confident Security addresses this challenge by making privacy a foundational part of AI infrastructure.

Confident Security developed CONFSEC, an enterprise-grade implementation of Apple’s Private Cloud Compute (PCC) architecture. CONFSEC is thoroughly tested, externally audited, secure, and production-ready. It allows LLM providers, hyperscalers, governments, and enterprises to wrap their AI inference engines to guarantee that prompts and metadata will never be used in AI training, never seen by any party, and that no person can access unencrypted user data. It’s deployable on any cloud or bare-metal environment, giving businesses the ability to technically guarantee privacy, rather than just limited legal promises.

The company sees CONFSEC as a foundational step toward unlocking AI adoption in high-trust sectors such as healthcare, finance, government, and legal services, where privacy concerns have been a barrier to AI deployment.

“Businesses and consumers are feeding AI everything from medical information to a company’s roadmap and trade secrets,” said Jonathan Mortensen, Founder and CEO of Confident Security. “AI is now table stakes, but it’s come at the cost of privacy. This creates a fundamental tension in sectors like healthcare, finance, government, and legal – and any business that wants to protect its IP or customers. How can they access the competitive advantages of AI without giving up control of your data and its value? The companies that master privacy will maintain their competitive edge during AI's next evolution.”

“Privacy is now the critical barrier to AI adoption in enterprise,” said Jess Leao, Partner at Decibel. “Confident Security is ahead of the curve in recognizing that the future of AI depends on trust built into the infrastructure itself. Without solutions like this, many enterprises simply can’t move forward with AI."

Confident Security is led by Jonathan Mortensen, a two-time founder who sold previous companies to BlueVoyant and Databricks. The team brings deep expertise in secure systems, AI infrastructure, and trusted computing with backgrounds at Google, Apple, Databricks, RedHat, HashiCorp, Stanford and Johns Hopkins.

To learn more about Confident Security, please visit confident.security

About Confident Security

Confident Security is the creator behind CONFSEC, an enterprise-grade version of Apple’s Private Cloud Compute (PCC) - thoroughly tested, externally audited, secure, and production-ready, and deployable on any cloud or your own bare-metal. Using a combination of OHTTP, blind signatures, remote attestation, TEEs, TPMs, transparency logs, and more, Confident Security provably guarantees nobody can see the user’s prompt. The company is led by Jonathan Mortensen, a two time founder that sold companies to BlueVoyant and Databricks, and built by a team with deep expertise in secure systems, AI, infrastructure, and trusted computing backgrounds from Google, Apple, Databricks, RedHat, and HashiCorp.

View source version on businesswire.com: https://www.businesswire.com/news/home/20250717403863/en/