Confident Security, a company focused on private AI interactions, has launched with $4.2 million in funding from Decibel, South Park Commons, Ex Ante, and Swyx. With AI managing sensitive data, such as medical records and trade secrets, privacy is a critical concern.
Their main product, CONFSEC, is an enterprise-level implementation of Apple’s Private Cloud Compute (PCC) architecture. It has been rigorously tested and allows LLM providers, hyperscalers, governments, and enterprises to securely “wrap” AI inference engines, ensuring that user prompts and metadata are not used for training or accessed in unencrypted form. CONFSEC can be deployed on any cloud or bare metal, offering privacy guarantees that exceed legal standards.
The company aims to facilitate AI adoption in regulated sectors, such as healthcare, finance, government, and legal services, where privacy has previously been a significant barrier. The team, led by two-time founder Jonathan Mortensen, comprises experts from top tech firms and institutions, including Google, Apple, and Johns Hopkins.
KEY QUOTES:
“Businesses and consumers are feeding AI everything from medical information to a company’s roadmap and trade secrets. 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.”
Jonathan Mortensen, Founder and CEO of Confident Security
“Privacy is now the critical barrier to AI adoption in enterprise. 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.”
Jess Leao, Partner at Decibel
