AWS AI Landing Zone - Pharma and Life Sciences
Version 1 · Cybersecurity & IT
Certification per AWS Marketplace.
Evidence tier Source Confirmed · 4 captures on record
What the publisher says
As described on AWS Marketplace.
The Version 1 AWS AI Landing Zone Accelerator is a pre‑engineered, secure, and governed AWS cloud foundation built specifically for AI and generative AI workloads in pharma and life sciences. Designed for biopharma, medtech, CROs, and research organisations, it automates the creation and deployment of a Cloud Adoption Framework (CAF) aligned AWS Landing Zone using industry‑standard Infrastructure as Code (Terraform and CDK), delivered through CI/CD pipelines.
The accelerator establishes a fully featured multi‑account AWS environment covering sandbox, dev, test, prod, security, and shared accounts complete with preconfigured VPCs, Transit Gateway, PrivateLink endpoints, encryption‑by‑default, and high‑performance compute blueprints (P4/P5, Trainium, Inferentia). It integrates directly with Amazon Bedrock and Amazon SageMaker, providing secure model invocation wrappers, embedding pipelines, retrieval utilities, and optional custom model registry support. Life sciences regulatory alignment is built in from the ground up, with controls mapped to typical GxP expectations, EMA/FDA guidance, HIPAA‑style safeguards, and data residency obligations, alongside support for third‑party AI risk management and validation requirements.
Show the rest of the publisher’s description (4 more lines)
A comprehensive security and governance fabric covers IAM Identity Center federation, attribute‑based access control (ABAC), Service Control Policies, CloudTrail, AWS Config, GuardDuty, Macie, and automated incident‑response pipelines giving IT, security, QA, and pharmacovigilance functions the visibility and auditability they require. The environment is designed to support model explainability, bias monitoring, validation evidence, and audit trail requirements in line with emerging AI governance expectations for medicinal products and clinical research. Beyond the core foundation, the accelerator includes an extensive library of reusable, production‑ready AI application blueprints covering clinical document intelligence, trial data and safety signal monitoring, regulatory dossier preparation, R&D knowledge assistants, and compliant analytics workspaces, all delivered with IaC templates, CI/CD scaffolding, and operational guidance. An observability and operations layer provides CloudWatch dashboards, X‑Ray tracing, Prometheus/Grafana model performance monitoring, automated cost attribution, drift detection, and auto‑remediation runbooks baked into the environment.
The package can be deployed as a net‑new landing zone or integrated as a pluggable module into an existing AWS Landing Zone, with SSO and bring‑your‑own IdP support defined in Terraform to minimise manual configuration.
Version 1's consultants bring experience designing, deploying, and operating enterprise‑grade AWS environments for regulated pharma and life sciences organisations, combined with expertise across AI governance, AI development, and AI operations. Knowledge transfer is a core part of every engagement, working directly with customer teams through tailored documentation and training sessions to ensure they can confidently maintain, scale, and govern their AI foundations long after delivery.
This product relates to the following AWS services: Amazon Bedrock, Amazon SageMaker, AWS Organizations, Amazon S3, AWS Glue, AWS Lake Formation, Amazon Athena, Amazon OpenSearch Service, Amazon DynamoDB, Amazon Aurora, AWS IAM Identity Center, Amazon CloudWatch, AWS CloudTrail, AWS Config, Amazon GuardDuty, Amazon Macie, AWS Transit Gateway, and AWS PrivateLink.
Highlights
Highlighted by the publisher on AWS Marketplace.
Deploy a production‑grade AWS AI Landing Zone in hours, not months. Using Terraform and CDK delivered through CI/CD pipelines, the accelerator automates your entire multi‑account AWS environment, eliminating the need to build core infrastructure, security controls, and AI application patterns from scratch, so your teams can focus on delivering scientific and clinical value.
Built for regulated pharma and life sciences from day one. Guardrails aligned to GxP‑style controls, EMA/FDA expectations, data residency enforcement, third‑party AI risk management support, model explainability tooling, and full audit trails give quality, compliance, and regulatory functions the confidence they need to approve AI in production.
Scale AI across your organisation without re‑architecting. High‑performance compute, Amazon Bedrock and SageMaker integrations, reusable pharma and life sciences AI blueprints, and a full observability layer mean your foundation grows with you whether you're running a single trial‑support model or dozens of AI workloads across R&D, clinical, manufacturing, and commercial.
Agent build and provenance
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Compliance
- FedRAMPConfirmedNot listed90%, registry-checkedNo FedRAMP Marketplace entry matched this vendor's domain, checked 2026-08-27registry recordas observed 2026-08-27
Confirmed means matched to a public authoritative registry. Claimed means the vendor or its listing states it, not yet cross-checked. A framework not shown was not found in any source we hold, which is not evidence against it. Not listed means a scoped registry check found no match for this vendor's domain: a No is a scoped registry check, not a compliance judgment. Confidence bands: 95% domain-verified, 90% registry-checked, 80% self-attested, 70% weak signal. Self-attested items marked “vendor's site” are gathered from the vendor's own website and are not verified by us.
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