Confidential computing
8 articles
Sovereign AISovereign AI is a placement problem
Sovereign AI is often discussed as a question of who owns the data centre. In practice it comes down to three engineering questions: where each request runs, who controls the keys, and what can be proven afterwards. Each one can be answered in the infrastructure itself.
5 min read
SecuritySecuring the AI Model Supply Chain, From Weights to Serving
A model file is executable risk: it can carry code, be swapped in transit or be served by a machine that is not what it claims. A layered control set for model provenance, safe formats, signed releases and attested serving.
5 min read
Financial servicesAI in Financial Services: Records an Examiner Can Verify
Banks, insurers and asset managers are moving AI into credit, claims, compliance and operations. Supervisors in the EU, UK, US and Singapore expect model inventories, third-party oversight and records. What a verifiable inference record should contain, and how to keep it.
4 min read
HealthcareAI in Healthcare: When the Data Cannot Move, Move the Model
Clinical and research data is among the most regulated anywhere. Three patterns that bring AI to health data without moving it (local serving, confidential computing and federated training) and the evidence each one should produce.
4 min read
Confidential computingConfidential Computing for Regulated AI: What Attestation Proves
TEE sessions and remote attestation let a regulated workload run on someone else's hardware with evidence of what code ran. What a report actually proves, what it cannot, and how Tenzro verifies, binds and routes confidential work.
5 min read
Data residencyData residency by design: pinning AI work to a jurisdiction
Residency rules for AI are moving from contract clauses into the request path. This article explains how to make jurisdiction a routing constraint that fails closed, what evidence a signed record of locality can and cannot give you, and how the rules differ across the EU, UK, MENA and APAC.
6 min read
Distributed computingGPU operators: sell compute on verifiable service levels
Conventional cloud SLAs are measured by the provider, and the customer has to claim any credit. On an open market of independent GPU operators, availability and output have to be verified by someone else, and payment has to follow the verification. This article explains how that works and what it changes for operators.
6 min read
Confidential computingTEE security: verified attestation across vendors
Intel TDX, AMD SEV-SNP, AWS Nitro and NVIDIA confidential GPUs, each attestation verified to its vendor root. Attestation is evidence; keys stay in their owners' hardware.
2 min read