Confident Security provides an API and SDK that enable developers to integrate large language models with verifiable privacy and security guarantees, ensuring data remains encrypted, anonymous, and never logged. The service leverages confidential computing and the OpenPCC standard to meet regulatory requirements such as GDPR, CCPA, and HIPAA for AI workloads. Pricing is transparent and usage‑based, allowing businesses to control costs while deploying secure AI features.
Funding
Funding not disclosed
Founders
Product
Problem
Organizations deploying AI face significant challenges in protecting user prompts and sensitive data from unauthorized access, leakage, or misuse for training. This lack of robust privacy controls hinders the adoption of AI in regulated industries and limits the expansion of AI-driven services.
Solution
Confident Security provides an enterprise-grade secure and private AI inference solution that ensures user prompts and sensitive data remain tamper-proof and inaccessible to unauthorized parties. Leveraging a combination of Oblivious HTTP (OHTTP), blind signatures, remote attestation, and Trusted Execution Environments (TEEs), the platform guarantees that prompts are never logged, used for training, sent to third parties, or accessed by system operators. This enables organizations to confidently deploy AI models in sectors with stringent data privacy requirements and expand their service offerings. The solution is deployable on any cloud or bare-metal infrastructure, integrating seamlessly with existing AI systems.
Target Audience
The primary customers are AI model providers, GPU resellers, hyperscalers, and sovereign AI initiatives seeking to offer or integrate AI inference with verifiable privacy and security guarantees for their end-users.
Features
- Oblivious HTTP (OHTTP) for anonymizing HTTP requests to inference servers.
- Blind Signatures to digitally sign data without revealing its content.
- Remote Attestation to verify the identity and running software of the inference environment.
- Trusted Platform Modules (TPMs) and Confidential VMs for hardware-based secure computation.
- Transparency Logs for a tamper-proof, append-only record of software packages.
- Secure Boot and Hardened OS to ensure trusted software execution.
- Reproducible Builds to verify binary integrity against source code.
- Stateless Computation ensuring user data is used solely for request fulfillment without retention.
- Enforceable Guarantees through code and infrastructure design, making certain privacy violations impossible.
- Non-targetability preventing attackers from compromising specific user data without a broad system compromise.
- No Privileged Runtime Access for staff to bypass privacy guarantees.
- Verifiable Transparency allowing security researchers to audit and confirm privacy guarantees.