Confident Security AI Data Privacy Tool Launches to Tackle Trust Issues in AI
Concerns about data privacy in artificial intelligence have surged, especially among businesses and organizations dealing with sensitive or regulated information. With tech giants like OpenAI, Anthropic, and Google collecting user inputs to train their models, many enterprise users are asking a critical question: How do we use AI without compromising our data? Enter Confident Security, a San Francisco-based startup aiming to be the “Signal for AI.” Officially out of stealth mode, the company has secured $4.2 million in seed funding and unveiled its flagship product, CONFSEC, a privacy-focused encryption tool designed to protect AI prompts and metadata at every step of the process. CONFSEC positions itself as a safeguard for enterprises looking to harness AI's power without exposing their data to providers or third parties.
Image Credits:Confident Security
How CONFSEC Ensures AI Data Privacy for Enterprises
Confident Security’s core offering, CONFSEC, is built to eliminate the trust gap between AI vendors and enterprise clients. The tool acts as a wrapper around large language models (LLMs), ensuring end-to-end encryption of data before it even touches an AI model. Whether it's a financial institution using a chatbot to handle client queries or a healthcare provider leveraging AI for diagnosis assistance, CONFSEC guarantees that data cannot be stored, monitored, or repurposed for training—not even by the model's creator.
The CEO, Jonathan Mortensen, explains that CONFSEC's approach is inspired by Apple’s Private Cloud Compute (PCC), a system that encrypts AI tasks running in the cloud so even Apple can’t access user data. CONFSEC builds upon this by integrating secure routing via services like Cloudflare and Fastly to anonymize data before it reaches AI inference systems. The goal is to make data privacy enforceable, verifiable, and most importantly, auditable.
Why Confident Security Is the Right Fit for Regulated Sectors
Highly regulated industries like healthcare, finance, and government have been hesitant to adopt AI due to the ambiguous data policies of major AI providers. With AI tools often relying on continuous learning through user inputs, companies are left wondering if their proprietary data is being used to train a system that could later benefit competitors. CONFSEC resolves this dilemma by embedding fine-grained permissions and conditional decryption mechanisms. This means organizations can enforce policies such as “no logging,” “no model training,” or “no third-party access” on every AI interaction.
CONFSEC also appeals to hyperscalers and AI-native companies looking to serve enterprise clients. By integrating Confident Security’s tools, these providers can offer zero-trust architecture as a feature, unlocking new markets without sacrificing model performance or customer trust. Mortensen notes that AI browsers like Perplexity’s Comet could benefit significantly, giving end-users control over how their search prompts are handled, especially in corporate environments where sensitive data is constantly being queried.
A Transparent Future for AI: Verifiable Privacy by Design
What makes CONFSEC stand out is its transparent architecture. The tool not only encrypts and routes data securely but also publishes the software running AI inference tasks in a publicly auditable format. This open approach allows cybersecurity experts, third-party auditors, and enterprise clients to validate privacy claims directly. With global conversations shifting toward AI regulations and data sovereignty, CONFSEC positions itself as an essential component in the evolving AI stack.
The startup’s $4.2 million seed round—backed by Decibel, South Park Commons, Ex Ante, and Swyx—will help scale product development and expand its integrations across different AI platforms. Confident Security plans to act as the middle layer between AI models and enterprise users, ensuring that privacy is not an afterthought but a fundamental building block of AI systems moving forward.
Confident Security enters the AI space at a crucial time when data privacy concerns are limiting broader adoption of AI in enterprise and public sectors. By delivering a robust, end-to-end encryption tool specifically designed for foundational models, CONFSEC helps organizations use AI confidently—knowing that their data remains fully under their control. As demand grows for secure, compliant, and transparent AI systems, Confident Security’s approach to AI data privacy could set the standard for how next-gen AI tools are deployed across sensitive industries.
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