Confident Security Emerges from Stealth with $4.2M to Bring End-to-End Privacy to AI

San Francisco-based startup Confident Security has launched publicly with $4.2 million in seed funding to address one of the biggest barriers to AI adoption: data privacy. Backed by Decibel, South Park Commons, Ex Ante, and Swyx, the company offers CONFSEC, an encryption layer designed to wrap around foundational AI models, ensuring prompts and metadata remain invisible — even to the model provider.

Founded by Jonathan Mortensen, Confident Security aims to make enterprise-grade AI usable in regulated sectors like finance, healthcare, and government, where data sensitivity has slowed adoption. Modeled after Apple’s Private Cloud Compute, CONFSEC anonymizes and routes data securely before applying strict, verifiable encryption protocols. The platform is already production-ready and undergoing testing with banks, browsers, and hyperscalers.

Featured image: Credit: Confident Security

James Dargan

James Dargan is a writer and researcher at The AI Insider. His focus is on the AI startup ecosystem and he writes articles on the space that have a tone accessible to the average reader.

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