United Kingdom
14 articles
Enterprise AIA Corporate AI Strategy for 2026: From Pilots to Production
Most enterprises use AI; few run it at scale. A practical framework for moving from pilots to production, with a clear answer to the question pilots skip: where the inference capacity comes from.
5 min read
Enterprise AIAgentic AI in the Enterprise: Delegation You Can Audit
When agents call tools and spend money, governance has to move from policy documents into the systems that authorise each action. A delegation model, a control checklist and the records an auditor will ask for.
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
Computer visionComputer Vision at the Edge: Infer Locally, Escalate Rarely
Cameras produce far more pixels than anyone should ship to a data centre. A tiered architecture for vision AI: small detectors at the camera or gateway, larger models only for the frames that need them, and privacy built into the split.
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
SafetyDesigning Safe Harnesses: Scopes, Limits, Expiry and Revocation
Prompt injection will sometimes succeed, so an agent's safety has to live outside the model. How Tenzro bounds every delegated agent with consensus-enforced scopes, spending limits, expiry, step-up approval and revocation, with an accountable root behind each one.
5 min read
Generative mediaGenerative Media Pipelines: Right Hardware, Pay Per Result
Image, video and audio generation have cost profiles unlike chat. How to route each job to hardware that fits it, meter it in units that match the work, check licence territory and mark outputs for provenance.
5 min read
Hardware identityDevices that join a network at first boot, with hardware identity
For hardware manufacturers, the identity a device carries out of the factory decides what it can do in the field. This article covers which identifiers can anchor a machine and which cannot, why keys belong sealed to the hardware, and how devices can join an open AI network from the first time they power on.
6 min read
SecurityPreparing AI Infrastructure for Post-Quantum Cryptography
NIST's ML-KEM, ML-DSA and SLH-DSA standards are final, the IETF has standardised hybrid key exchange for TLS, and the US and EU have set dates. A practical migration plan for AI infrastructure, and how Tenzro applies hybrid post-quantum keys today.
5 min read
Public sectorPublic Sector AI: Buying Capability Without Buying Lock-In
Governments in the US, UK and EU now tell agencies to avoid AI vendor lock-in, protect government data from commercial training and assess impacts before deployment. A procurement checklist that turns those policies into contract terms and architecture.
4 min read
RetrievalRetrieval at the Source: Embeddings and Search Near the Data
Retrieval pipelines copy an organisation's documents into embeddings, indexes and caches, often far from where the data lives. Why embeddings are sensitive data, how to size them, and an architecture that keeps retrieval close to the source.
4 min read