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Landing Zone for AI

Cortex Reply · Cybersecurity & IT

No attestation published

Certification per AWS Marketplace.

Provenance reach3 of 12 layers traced

Evidence tier Source Confirmed · 4 captures on record

User ratingNot rated0 reviews on the listing
Runs onUnknownProfessional service
ProvenanceUnknown33% of the provenance layers this product can disclose
Evidence riskHighSign in to see the basis for this band.

What the publisher says

As described on AWS Marketplace.

Landing Zone for AI gives you a secure, well-governed environment on AWS designed for AI from day one. It sets up the core AWS services you need for safe experimentation and scalable model delivery, including AWS Organisations, IAM Identity Center, Amazon VPC, AWS Security Hub, AWS CloudTrail, Amazon S3, and GPU-ready compute through Amazon EC2 and Amazon EKS. You also get patterns for GenAI, RAG, and analytical AI workloads, plus clear guardrails for identity, data access, networking, and cost control.

The landing zone includes account structure, network design, security controls, data zones, and CI/CD templates that follow AWS best practice. You can run training jobs, deploy models, integrate agents, and connect cross-cloud workloads without rebuilding your foundations later. Everything is deployed through IaC so you can extend or duplicate it easily across business units or environments.

Show the rest of the publisher’s description (1 more line)

You get faster delivery, lower risk, and clear governance over high-cost AI workloads. Cloud Squad – Landing Zone for AI helps you move beyond isolated experiments to a production-grade AI platform built on AWS services such as Amazon S3, Amazon SageMaker, AWS Lambda, AWS Step Functions, Amazon Bedrock, Amazon OpenSearch Service, and Amazon CloudWatch. This gives you a reliable, scalable base for your current use cases and a clear path for future AI adoption.

Highlights

Highlighted by the publisher on AWS Marketplace.

Rapid, secure setup of an AWS landing zone built specifically for AI workloads, including GPU-ready compute, data zones, and governance controls.

Ready-made patterns for GenAI, RAG, agentic AI, and analytical pipelines using core AWS services such as Amazon S3, Amazon SageMaker, Amazon Bedrock, and Amazon EC2.

Production-grade identity, security, and cost-management foundations that let you scale AI safely across teams and environments.

Agent build and provenance

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Sources

Marketplace listingaws.amazon.comSource
App certificationaws.amazon.comSource

Linked repositories

RepositoriesUnknownUnknown

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Pricing
Unknown
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Delivery
Professional service
To discuss your exact requirements please contact us at cortex.sales@reply.com
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Evidence risk is the share of the build you cannot see before you deploy, not a security rating. Sign in to see the layer-by-layer basis for this band.