
Welcome to our blog. Here, Edgeless Systems employees write about all things Confidential AI.
How to use LLMs productively without the provider accessing the data – confidential computing and the confidentiality agreement under § 203 StGB that technology can't replace.
Apple Private Cloud Compute now runs on third-party hardware. As confidential AI becomes standard for private inference on widespread data-center hardware, the real question is about transparent verification.
Why Confidential Computing is a technical response to the core ICT risk of cloud-based AI.
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.
Learn how privacy-preserving AI inference protects sensitive data when using LLMs, from cryptographic approaches to redaction.
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.
How AI-powered documentation is reducing the administrative burden in healthcare and why Confidential AI is the answer for privacy and scalability.
Deploy AI knowledge management for confidential data without exposing information to third parties. Enterprise guide to secure RAG, local inference, and privacy.
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.
How to build fast AI inference with prompt caching while keeping your prompts secure.
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.
