Your DPO just asked for proof that your AI pipeline doesn't leak training data. You don't have any. Neither does OpenAI, Anthropic, or Google — their clouds run on shared hardware where hypervisors can peek at GPU memory. GDPR Article 25 says you need "data protection by design." Shared GPUs aren't design. They're hope.
I spent 3 hours trying to set up Azure Confidential Computing last year. Gave up. The attestation docs were 400 pages. The H100 instances were $14/hr and still required me to build my own container stack. Six months later, I had a working TDX pipeline. Here's how to do it in an afternoon.
Why This Matters Now: Schrems II and the $1.2B Fine
The EU-US Data Privacy Framework is shaky. Meta's €1.2 billion fine wasn't about malice — it was about US cloud providers legally obligated to hand data to FISA courts. Article 44-49 of GDPR (the "Schrems II" rules) means your US-hosted AI pipeline is a compliance incident waiting to happen.
Intel TDX (Trust Domain Extensions) is different. It creates hardware-isolated VMs where the CPU encrypts memory with AES-256. The cloud provider — us, Azure, anyone — literally cannot read the data. Not via hypervisor escape. Not via privileged access. The CPU itself verifies integrity through attestation.
