The Growing Security Risks Associated with AI
$4.9M
Average cost of a data breach in 2024 and growing. This is 10% higher than 2023 and the highest total cost in history.
Source: IBM Data Breach Report64%
Percentage of organization that have trouble tracking what data feeds their AI systems.
Source: BusinessWire Study#1 blocker
Data privacy is the top blocker preventing enterprises from adopting AI.
48%
Percentage of organizations that feed private company data into AI systems. 4% of employees paste sensitive data into AI systems on a weekly basis.
Confidential AI with Tinfoil
Private Cloud Infrastructure
With Tinfoil you can run AI workloads in secure enclaves, ensuring your data never leaves the secure environment. Say goodbye to managing on-prem deployments; use cloud-native tools to deploy and scale your AI workloads without compromising on security.
Enterprise Data Security
Safeguard against data exfiltration by ensuring proprietary information and sensitive data stay protected when using AI systems. Defend against competitors and malicious actors targeting your organization's valuable intellectual property.
Simple Integration
Tinfoil is a drop-in replacement using OpenAI's API standard, so you can integrate confidential AI into your applications with minimal changes to your codebase.
- from openai import OpenAI
+ from tinfoil import TinfoilAI
Confidential AI Infrastructure
Tinfoil uses cutting-edge secure enclaves and NVIDIA GPUs with confidential computing mode to deliver end-to-end confidentiality. You can run state-of-the-art AI inference and deploy custom AI workloads with strong confidentiality guarantees.
Our platform is open-source and built on top of industry-standard confidential computing architectures, so you can verify all our security claims for yourself.
Traditional AI Inference: Pinky-Promise Security

- Your data is only encrypted in transit (via TLS/SSL)
- Providers decrypt your data before processing it with AI models
- Providers can access, analyze, and potentially train on your data
- Your only protection is legal agreements (DPAs)
- This creates what we call "pinky-promise security"
Tinfoil AI Inference: Verifiable Security

- Your data is encrypted directly to the GPU running the AI model
- Models run inside secure enclave environments
- Each model runs in a dedicated confidential computing GPU
- Your data cannot be accessed or shared with third parties
- These security guarantees are cryptographically verifiable
NVIDIA's Confidential Computing Mode
Until recently, secure enclaves (like those on your phone to protect your biometrics) were restricted to CPU-only workloads and not powerful enough to run full-scale AI models.
With NVIDIA's recent release of confidential computing mode on their Blackwell and Hopper GPUs, it is now possible to couple secure enclaves with powerful GPUs to run full-scale AI models with the guarantees of traditional secure enclaves.
Supported AI Models










Use Cases
Tinfoil helps secure AI workflows across startup and enterprise workloads
Startups
AI applications that integrate private data
Private Content Moderation
Enterprise-Ready Security
Enterprise
AI Code Assistants for Proprietary Code
Maintain Competitive Advantage
Cloud Computing without Trust
Getting Started with Tinfoil
Private Chat
Experience Tinfoil's private AI capabilities firsthand with our private chat.
Inference API
Use our inference API to access AI models privately. Perfect for adding AI capabilities to your applications while ensuring data privacy.
Deploy Your Own Models
Deploy your AI applications with verifiable security guarantees. Ideal for organizations that want to build confidentiality into their AI tools.
Read our blog posts

Introduction to Tinfoil
Discover how Tinfoil enables private AI deployment using secure hardware enclaves, extending local security boundaries to the cloud.

Technical Overview
Learn how Tinfoil uses secure enclaves to provide confidential computing with hardware-level isolation, integrity verification, and code transparency.

Platform Comparison
See how Tinfoil compares to other confidential computing platforms in terms of security and usability.