We’re committed to protecting your data.
Data protection is at the core of everything we build. Our products keep your information encrypted and verifiable, so you never have to take our word for it. That’s what real data sovereignty looks like.
We are constantly working on new ways to keep your information safe. Our confidential computing solutions use innovative privacy technologies and techniques to prevent anyone except you from accessing your information.
Enclave OS ›
Data stays encrypted in secure enclaves, protected from the infrastructure running it, even if the machine is compromised. A complete operating system for secure environments, with a runtime for deploying your applications inside the trust boundary.
Enclave Vaults ›
Your secrets and cryptographic keys are protected by hardware, not just passwords. Hardware-grade isolation without the cost of dedicated security modules, with access controlled by verifiable identity.
Enclave Agent ›
Run AI models on your most sensitive data without ever exposing it. Large language models, retrieval pipelines, and AI agents all operate inside hardware-protected environments. Your data and model weights never leave the trust boundary.
Privasys Platform ›
Everything developers need to build trusted applications. Deploy WASM modules or containers on confidential infrastructure through our developer platform. Attestation, identity management, secure networking, and client libraries in six languages, all ready to integrate.
Deploy confidential applications in minutes.
Our Developer Platform is live at developer.privasys.org. Sign in with GitHub, create an application, upload your code, and it runs on hardware-protected infrastructure with remote attestation built in.
Step 1
Sign in
Authenticate via GitHub OIDC. No extra accounts to create.
Step 2
Create an app
Choose WASM or Container and name your application.
Step 3
Upload your code
Link a GitHub commit for reproducible builds, or upload a pre-compiled module.
Step 4
Deploy and attest
Your app runs inside a hardware enclave. Every connection is verifiable.
Privacy that is verifiable, not promised.
Always verifiable
Every connection carries cryptographic evidence of what code is running and that it is running inside genuine secure hardware. Clients verify security through hardware-signed attestation quotes, not promises.
Open source
Every component is published under the AGPL-3.0 licence. The code that runs inside the enclave is available for audit. We believe transparency is not optional: it is the foundation of trust.
Building the future of data self-sovereignty
In recent years, our team has won every major international privacy competition in the financial sector:
Process sensitive data across organisational boundaries without exposing it. Secure enclaves enable collaborative analytics on private, siloed data.
Programmable insights
Connect sensitive data sources to secure processing inside hardware enclaves. Define custom business logic that runs over private data without exposing it.
Data monetisation enabler
Your data is sensitive, strategic, and private. With Privasys, it stays fully encrypted in memory, even during processing. No exposure. No exceptions. We offer state-of-the-art solutions compatible with the most stringent privacy regulations.
Run AI models on private data without exposing it. LLMs, retrieval pipelines, and AI agents operate inside hardware-protected environments with full attestation.
Smarter automation
Your AI agents are only as good as the data they see. Privasys gives your models secure access to private, structured, or messy data, without ever exposing it. Improve the quality of your AI automation just by making it smarter with precise data.
Collective intelligence
Agents gain access to multiple private RAGs, transforming siloed, unstructured data into usable intelligence while maintaining complete confidentiality. Intelligence becomes collaborative, yet secure.
End-to-end data protection for AI workflows
Confidential AI is the most advanced usage of our technology. It combines secure enclaves on CPUs and GPUs to guarantee data privacy, security, and lineage for the entire architecture of AI systems.
- Confidential Computing: Keeps data always encrypted in memory, even during processing, and prevents unauthorised access.
- Private RAG: Securely augments your model knowledge with your private data, leveraging powerful search algorithms to efficiently retrieve the relevant information.
- Secure AI Inference: Runs LLMs and SLMs on tamper-proof hardware (CPUs or GPUs), and ensures data privacy even during model inference.
- Attested MCP: Enables AI agents to interact with external services while guaranteeing data privacy and process integrity.
The most advanced enterprises and agencies advocate our approach to data protection. It is particularly relevant to guarantee data privacy and security for AI-based systems.
“There are solutions available today, like confidential computing, which give organisations stronger controls to protect their data”
JPMorgan“Nothing short of the world-leading security architecture for cloud AI compute at scale”
Apple“Confidential computing offers the promise of protecting model weights and inference data”
OpenAI“By 2029, Gartner predicts more than 75% of operations processed in untrusted infrastructure will be secured in-use by confidential computing”
Gartner“Trusted computing infrastructure supports the integrity of data processes, reduces risks associated with unverified or altered data, and ultimately creates a more robust and transparent AI ecosystem”
The NSA