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PrivateClaw – AI agents running in confidential VMs you can verify
Hardware-enforced TEEs mean even the host OS can't read your AI prompts.
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lambence
601mo ago
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Onera – Private LLM Inference Inside AMD SEV-SNP Enclaves
by shreyaspapi·Feb 26, 2026·1 point·1 comment
AI Analysis
●●SolidBig BrainWizardry
Hardware-backed private inference, but requires trust in Onera's server infrastructure anyway.
Strengths
- •AMD SEV-SNP TEE isolation means Onera literally cannot access model inputs/outputs.
- •End-to-end encryption with client-side key management eliminates server-side data exposure.
- •Open-source client lets users audit the encryption layer before trusting it.
Weaknesses
- •TEE security depends on AMD's implementation; past vulnerabilities exist (Plundervolt, etc).
- •Value proposition unclear: competitors (Claude web, ChatGPT) also claim no data retention; TEE adds cost without proving necessity.
Category
Target Audience
Privacy-conscious users, enterprises handling sensitive data with LLMs
Similar To
Anthropic Claude (data policy) · OpenAI ChatGPT (private mode claims) · Privy (local encryption wrapper)
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