Blog
Welcome to our blog. Here, Edgeless Systems employees write about all things Confidential AI.
Why a third-party confidential-computing layer is required
Even when your cloud provider offers confidential computing, gaps remain. Here's what they deliver, where they stop, and why Contrast and Privatemode AI complete the picture.
Privacy-preserving LLM inference
Learn how privacy-preserving AI inference protects sensitive data when using LLMs, from cryptographic approaches to redaction.
C5:2026: Germany’s BSI makes confidential computing and remote attestation a standard
Germany’s BSI C5:2026 catalogue introduces mandatory criteria for confidential computing and remote attestation. See how Privatemode AI already meets the highest attestation standard.
Confidential AI in clinical care
How AI-powered documentation is reducing the administrative burden in healthcare and why Confidential AI is the answer for privacy and scalability.
Confidential RAG: secure AI knowledge without data leaks
Deploy AI knowledge management for confidential data without exposing information to third parties. Enterprise guide to secure RAG, local inference, and privacy.
AI memory features get baked into browsers – We build privacy back into them
AI browsers are racing to introduce 'memory' features, but they raise major privacy risks as browsing context gets sent to the cloud. Privatemode offers a safer path using Confidential Computing.
Secure prompt caching for fast AI inference
How to build fast AI inference with prompt caching while keeping your prompts secure.
Is ChatGPT safe?
Many businesses hesitate to use ChatGPT for sensitive data due to privacy concerns. While OpenAI claims to implement strong security measures, its privacy policy lacks transparency, especially on data sharing.