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Articles tagged with #confidentialcomputing
Quick Answer: "Digital sovereignty" in AI isn't about where your servers are. It's about who can access your data while it's being processed. Most "sovereign AI" solutions just move the problem — your data still sits unencrypted in GPU memory, readab...
Your AI vendor claims compliance. But when the auditor shows up on August 3, 2026, they won’t care about marketing. They’ll want proof — cryptographic, hardware-level proof — that your AI system met Article 15 cybersecurity requirements under the EU ...
Quick Answer: A fintech CISO just caught 17 employees pasting KYC forms into ChatGPT. I tested 300 real client documents across 42 teams. 67% of them were already in public AI logs. ChatGPT’s data privacy risk isn’t theoretical — it’s already in your...
I Ran a Legal Contract Analyzer Inside Intel TDX — No One Could Read My Data A law firm just got sanctioned for putting client NDAs into ChatGPT. The fine wasn’t public. The reputational damage was. I tested a legal contract analyzer on 200 real-wo...
Quick Answer: Running AI inference inside Intel TDX enclaves adds just 5.2% latency overhead compared to non-encrypted inference. On an H200 GPU, encrypted inference took 630ms vs 600ms for the regular model. Cost per inference? $0.55 for TDX, $0.50 ...
Quick Answer: Running AI workloads on Intel TDX adds 3-7% latency overhead but encrypts data in hardware. VoltageGPU’s H200 TDX pods cost $3.6/hr vs $4.07/hr for non-encrypted H200 — a 12% price drop despite security. Why Intel TDX Matters for AI W...