Skaylink Professional Service
Secure AI Landing Zone for Anthropic Claude on AWS
Don’t just access Claude. Deploy it securely, govern your data properly, and optimize cost – with full control over where it’s processed, how it’s encrypted, and how the model uses it.
Quick access:
Most organizations don’t fail at AI because of the model itself. They stall because of the underlying foundation: unclear data flows, delayed security reviews, escalating costs, and demos that never quite make it to production. The Secure AI Landing Zone is an advisory and implementation service from Skaylink, an AWS Premier Consulting Partner. It provides more than just access to Anthropic Claude models. We build a secure AWS foundation, configure the guardrails, accelerate your first use cases, and control costs . This allows your AI workloads to reach production with confidence.
The challenge
AI is progressing quickly, but most enterprises encounter five common hurdles on the path from an exciting demo to a production-ready service:
- Simply having access to the model doesn’t make your organization AI-ready.
- It’s unclear where the data resides, how it’s encrypted, or whether it’s being used to train the model.
- Promising demos stall on the path to production quality.
- Without visibility into usage and architectural discipline, the cost of AI creeps up.
- Guardrails and compliance are difficult to retrofit after launch.
Our solution
The Secure AI Landing Zone is a delivery-led service, not a license resale. Skaylink’s AWS-certified solution architects, security experts, and FinOps specialists will design and deploy a compliant AWS foundation for your AI workloads. They will also configure Amazon Bedrock for the safe use of Anthropic Claude and provide ongoing support through your first production use case.
What you get with us – beyond model access
- Advisory + delivery: Hands-on implementation, not just slideware
- Secure by design: Governance, guardrails, and data sovereignty from day one
- Production-focused: Built to run, scale, and pass audits – not just for demos
- Cost-conscious: FinOps discipline is built in from the start, rather than being added on later.
More than a reseller
As an AWS Premier Consulting Partner with access to Claude in Amazon Bedrock, powered by Anthropic, we offer more than just a model endpoint. Buying Claude through Skaylink turns a procurement decision into a managed advantage:
- Day-one access to the latest Claude models in Amazon Bedrock, powered by Anthropic – so you always have access to the latest capabilities without having to renegotiate agreements
- One AWS contract and one bill — consume Claude through your existing AWS relationship, with no separate model agreement required
- An AWS Premier Partner with certified AI, security, and FinOps experts – not just a license, but a team that designs, deploys, and runs the solution with you
- Support, billing, credits, and governance under one roof – a single accountable partner across cloud, security, and AI
- Eligible AWS funding and acceleration programs, identified and applied for on your behalf (subject to AWS approval)
Key benefits
- Control over data location with region whitelisting and data residency (e.g,. EU)
- Encrypted in transit and at rest using your own AWS Key Management Service (KMS) customer-managed keys
- Your prompts and data will not be used to train the foundation models or shared with the model provider.
- A production-grade AI foundation, not just model access
- Responsible AI guardrails aligned to your policies and powered by Amazon Bedrock Guardrails
- Predictable, optimized AI running costs through usage and architecture discipline
- Access to AWS funding and acceleration programs, where eligible
- One accountable partner for cloud, security, FinOps, and AI
Data sovereignty & control
When you adopt AI, your board, CISO, and DPO will have the same four questions for you. The Secure AI Landing Zone is designed to provide clear and demonstrable answers to each of these questions.
Where your data is processed and stored
We restrict data processing and storage to the AWS regions you approve. With region whitelisting and data residency controls, you can keep workloads in EU regions, for example, with explicit, auditable boundaries enforced via AWS Organizations Service Control Policies.
How your data is encrypted
Your data is encrypted in transit and at rest using AWS KMS customer-managed keys (CMKs) that are under your control. Key policies, rotation, and access auditing are configured for your Bedrock workloads, S3 buckets, logs, and any state stores.
How the model uses your data
Amazon Bedrock is configured so that your prompts, completions, and customer data are not used to train the foundation models or shared with the model provider. Bedrock Guardrails are applied to filter sensitive data, restrict topics, and enforce your Responsible AI policies on every request.
How your data is accessed
Private connectivity (VPC endpoints/PrivateLink) keeps traffic to Bedrock off the public internet. AWS IAM Identity Center enforces least-privilege access, and AWS CloudTrail captures every model invocation for auditing, investigating, and reporting purposes.
What’s included: Five pillars of production AI
- Secure AWS Landing Zone
A compliant AWS foundation for AI workloads: a multi-account structure, networking, IAM Identity Center, logging, monitoring, encryption, and governance – deployed following AWS best practices
- Amazon Bedrock setup & guardrails
Secure Anthropic Claude in Bedrock: model access, region and data controls, encryption with customer-managed keys, usage limits, safety policies, and Bedrock guardrails aligned with your Responsible AI requirements
- Faster AI prototyping
From idea to a working prototype in weeks using proven architecture patterns and reusable accelerators (RAG, agentic document intelligence) along with practical use case discovery with your business teams
- FinOps & cost optimization
Usage analysis, architecture and model selection guidance, monitoring dashboards, and cost governance — so your AI spend stays predictable as you scale
- Partner funding & acceleration
As an AWS partner with AI competency, we help identify eligible AWS funding and acceleration programs to support the development of prototypes, pilots, and AI applications (subject to AWS approval).
How we engage
01 · Discovery & Use Case Workshop
We will work with your business, security, and compliance stakeholders to align on goals, constraints, and high-value use cases.
02 · Secure foundation & guardrails
We will deploy the AWS landing zone and configure Amazon Bedrock for Claude, including the region, data, encryption, and guardrail controls.
03 · Prototype & validate
We will build a proof of value for your chosen use case on a production-ready architecture with measurable success criteria.
04 · Optimize & scale
First, we will optimize costs, governance, and performance. Then we will help you roll out additional use cases on the same secure foundation.
Technology stack
Built entirely on AWS-native services, configured for security, governance, and cost discipline:
- AI: Amazon Bedrock, Anthropic Claude (via Bedrock), Bedrock Guardrails
- Foundation & governance: AWS Organizations, AWS Control Tower-aligned account structure, IAM Identity Center
- Network & security: Amazon VPC, PrivateLink/VPC endpoints, AWS KMS (customer-managed keys), AWS Secrets Manager
- Operations & audit: AWS CloudTrail, Amazon CloudWatch, AWS Config
- Data & cost: Amazon S3, Amazon DynamoDB (where applicable), AWS Budgets, Cost Explorer
Ideal for
- Enterprises starting or scaling AI workloads on AWS
- Security-, risk-, and compliance-conscious organizations
- Teams that need access to the latest Anthropic models
- Regulated industries: financial services, healthcare, public sector, manufacturing, and utilities
- Innovation teams under pressure to demonstrate ROI quickly
FAQ
No, this is a hands-on advisory and implementation service. We will design, deploy, configure, and operate a secure foundation for Anthropic Claude on AWS. Model access via Amazon Bedrock is part of the solution, but it’s only one part of the value we deliver.
You decide. We configure region whitelisting and data-residency controls so data processing and storage remain within your approved AWS regions — for example, AWS regions within the EU for GDPR-aligned workloads. These boundaries are enforced and auditable.
No. Amazon Bedrock is configured so that your prompts, completions, and customer data are neither used to train foundation models nor shared with the model provider. We make these controls explicit and verifiable as part of the engagement.
Data is encrypted in transit and at rest using AWS KMS customer-managed keys that you own and control — including for Bedrock, S3, logs, and any state stores used by the solution.
A discovery workshop typically runs 1–2 weeks. From there, deploying the secure foundation and a first prototype is commonly measured in weeks rather than months. The exact timeline depends on your environment and use case.
We help identify eligible AWS funding and acceleration programs that support prototypes, pilots, and AI application development. Funding is subject to AWS approval and cannot be guaranteed.
Contact
Ready to launch Claude with confidence?
Book a Secure AI Discovery Session and get a clear, costed path to production on AWS — with the security, data sovereignty, and cost discipline your business needs from day one.
