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Agent passport

Agentic AI Landing Zone

LorinCloud · 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.

The solution provides a robust, resilient, reliable, secure, operationally efficient, and performance-efficient cloud infrastructure environment for hosting and running Agentic AI applications.

It consists of a mature AWS cloud infrastructure layer, an agent runtime environment, short- and long-term memory modules, configurable vector database modules, monitoring and observability components, MCP integration capabilities, security components, and LLM integration endpoints.

Show the rest of the publisher’s description (4 more lines)

The solution leverages modern AWS Agentic AI services and resources, in particular Amazon Bedrock AgentCore, Bedrock-hosted Large Language Models, and AWS-hosted vector database options. It makes use of the core capabilities of Amazon Bedrock AgentCore to support the reliable and secure operation of agent-based applications. AgentCore Runtime is used for hosting and running agents. AgentCore Observability enables near real-time monitoring, tracing, debugging, and application-level visibility. AgentCore Memory supports multi-tier memory strategies, including short-term and long-term memory modules with customizable memory approaches. AgentCore Identity is incorporated to provide agent-based authentication and authorization capabilities, while AgentCore Gateway is used to enable secure integrations with tools, services, and MCP-compatible components. AgentCore policy controls can also be applied as logical security boundaries for governing agent behavior and access.

The solution is delivered as a custom implementation through LorinCloud’s professional services offering. It is highly customizable and can be tailored to specific customer requirements, architectural constraints, security needs, integration patterns, and operational expectations.

The solution can also be integrated with other enterprise systems and cloud services to establish a stable Agentic AI environment for prototypes, MVPs, and production-grade systems.

With LorinCloud’s customized Agentic AI Landing Zone, engineering teams can focus on developing key value-creating Agentic AI applications, while LorinCloud provides the secure, scalable, and production-ready infrastructure foundation required to host, operate, monitor, and evolve those applications on AWS.

Highlights

Highlighted by the publisher on AWS Marketplace.

Production-ready Agentic AI foundation on AWS for securely hosting, running, and scaling AI agents across prototypes, MVPs, and enterprise-grade systems.

Integrated runtime, memory, observability, security, vector database, MCP, and LLM capabilities built around Amazon Bedrock AgentCore and AWS-native services.

Custom professional services implementation that lets engineering teams focus on value-creating agent applications while LorinCloud delivers the cloud infrastructure foundation.

Agent build and provenance

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The layer-by-layer build, the evidence behind each claim, the risk basis and the cross-marketplace links are open to any account. Some rows are disclosed, some the source leaves Unknown; a free account shows you which.

Sources

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

Linked repositories

RepositoriesUnknownUnknown

Unknown means this listing does not publish a repository. It is not a statement that the code is closed, and a linked repository is not a claim that the publisher wrote it: the registry computes that relationship privately and does not publish it.

Pricing
Unknown
Not stated
Delivery
Professional service
Offering website: https://lorincloud.com/solutions.html
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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.