Confident Security Unveils Groundbreaking Solution for Provably Private AI Interactions
In an era where artificial intelligence (AI) is becoming indispensable, privacy remains a persistent challenge. As AI systems increasingly process sensitive data—ranging from medical records and legal documents to trade secrets and personal information—organizations face mounting pressure to ensure that their interactions with AI remain private and secure. Enter Confident Security, a pioneering technology company that today announced its public launch alongside $4.2 million in funding. Backed by investors including Decibel, South Park Commons, Ex Ante, and Swyx, Confident Security is introducing the first enterprise-grade system designed to enable provably private AI interactions.
At the heart of Confident Security’s offering is CONFSEC, an advanced implementation of Apple’s Private Cloud Compute (PCC) architecture. CONFSEC is meticulously engineered, rigorously tested, and externally audited to ensure it meets the highest standards of security and scalability. It provides organizations with a robust solution to safeguard sensitive data during AI inference processes, guaranteeing that prompts, metadata, and user inputs remain private at all times.
A New Standard for Privacy in AI
CONFSEC operates as a privacy wrapper for AI inference engines, ensuring that sensitive information is never used for AI training, never exposed to unauthorized parties, and never accessible in unencrypted form. This level of protection is critical for industries where data privacy is non-negotiable, such as healthcare, finance, government, and legal services. By deploying CONFSEC on any cloud or bare-metal environment, businesses can provide technical guarantees of privacy rather than relying solely on legal agreements or policy-based assurances.
The implications of this innovation are profound. For sectors like healthcare, where patient confidentiality is paramount, or finance, where proprietary algorithms and customer data must be protected, CONFSEC removes a significant barrier to AI adoption. It empowers organizations to harness the transformative potential of AI without compromising the privacy of their users or exposing sensitive information to risk.
Bridging the Gap Between AI and Trust
“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 intellectual property or customers. How can they access the competitive advantages of AI without giving up control of their data and its value? The companies that master privacy will maintain their competitive edge during AI’s next evolution.”
Mortensen’s vision underscores the growing urgency for privacy-first solutions in the AI landscape. With AI systems becoming deeply embedded in critical workflows, trust is no longer optional—it’s essential. Organizations need assurance that their data is not only protected but also provably private. CONFSEC delivers on this promise by embedding privacy into the very fabric of AI infrastructure.
Privacy as the Key to Enterprise AI Adoption
Industry experts agree that privacy is one of the most significant hurdles to widespread AI adoption in the enterprise. “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.”
By addressing this gap, Confident Security is positioning itself as a leader in the next wave of AI innovation—one where privacy and security are foundational, not afterthoughts. Its technology enables organizations to unlock the full potential of AI while maintaining strict control over their data, fostering trust among users and stakeholders.
A Team of Industry Veterans
Confident Security is led by Jonathan Mortensen, a seasoned entrepreneur with a proven track record in building and scaling innovative companies. Mortensen previously founded two successful ventures, which were acquired by BlueVoyant and Databricks. His leadership is complemented by a team of experts with deep expertise in secure systems, AI infrastructure, and trusted computing. The team’s collective experience spans industry giants like Google, Apple, Databricks, RedHat, HashiCorp, and leading academic institutions such as Stanford and Johns Hopkins.
This diverse background positions Confident Security to tackle some of the most complex challenges in AI privacy. By leveraging cutting-edge technologies and adhering to rigorous security standards, the company is setting a new benchmark for what it means to build trust in AI systems.
Unlocking AI’s Potential in High-Trust Sectors
The introduction of CONFSEC marks a pivotal moment in the evolution of AI. By providing a technical guarantee of privacy, Confident Security is enabling organizations in high-trust sectors to embrace AI with confidence. For healthcare providers, this could mean using AI to analyze patient data without risking breaches of confidentiality. In finance, firms can leverage AI to optimize trading strategies while safeguarding proprietary algorithms. Governments can deploy AI for sensitive operations without exposing classified information.
Ultimately, Confident Security’s mission is clear: to make privacy a cornerstone of AI infrastructure. By doing so, the company is not only addressing a pressing need but also paving the way for a future where AI adoption is driven by trust, transparency, and accountability.
A Foundation for the Future of AI
As AI continues to reshape industries, the importance of privacy cannot be overstated. Confident Security’s launch represents a significant step forward in addressing this critical issue. With CONFSEC, organizations now have the tools they need to adopt AI responsibly, ensuring that privacy remains a priority in every interaction.
By embedding privacy into the core of AI systems, Confident Security is helping businesses navigate the complexities of the digital age while maintaining the trust of their customers and partners. In doing so, the company is not just solving a problem—it’s shaping the future of AI adoption across the enterprise landscape.
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.
