MLOps Platform for AI Agents - Secure, Scalable AI Stack in <7 Days
Global Mobility Services · Cybersecurity & IT
Certification per AWS Marketplace.
Evidence tier Source Confirmed · 4 captures on record
What the publisher says
As described on AWS Marketplace.
MLflow MLOps Platform for AI Agents
Accelerate your AI agent development with a secure, scalable, and production-ready MLflow deployment on AWS. This platform enables fast iteration and governance-compliant operations for teams building, training, and monitoring AI agents or intelligent workflows.
Show the rest of the publisher’s description (15 more lines)
Designed for enterprises and startups developing intelligent agents, LLM-based copilots, or ML-backed decision tools, the platform eliminates infrastructure overhead while maintaining enterprise-grade security. Deploy a pre-configured AWS CloudFormation stack with integrated services like Amazon RDS, S3, and ACM—ready to support model tracking, artifact storage, and HTTPS-secured APIs from day one.
With built-in Auto Scaling, IAM role isolation, and CloudWatch monitoring, teams can confidently deploy and manage AI agents across environments. Whether you're building internal copilots or customer-facing AI services, this platform provides a secure MLOps foundation for rapid delivery.
Key Features
Agent-Ready MLOps – Ideal for building, tracking, and managing AI agents and ML-based tools
One-Click Deployment – Launch MLflow on AWS using a fully automated CloudFormation template
Enterprise-Grade Security – Includes encrypted RDS, SSL/TLS via ACM, and IAM role segmentation
High Availability – Auto Scaling groups and load balancing for production resilience
Observability Built-In – AWS CloudWatch integration for real-time metrics and health tracking
Seamless Artifact Management – Use S3 for secure storage of agent model checkpoints and logs
Ideal For
This solution is perfect for AI/ML engineers, platform teams, and consulting firms building or scaling:
AI Agents & Intelligent Workflows
Domain-Specific LLM Applications
Internal AI Assistants & Copilots
ML Model-Driven Automations
Highlights
Highlighted by the publisher on AWS Marketplace.
Launch MLflow on AWS in minutes using our pre-built CloudFormation stack—designed for scalable AI agent workflows and model tracking, with minimal DevOps effort and full enterprise security.
🔒 Built-in Auto Scaling, encrypted RDS, and S3 integration ensure high availability, secure model storage, and simplified artifact management—ready for production AI workloads.
✅ Achieve PCI DSS and HITRUST compliance faster with secure infrastructure, governance controls, and audit-ready architecture designed for regulated, enterprise-scale deployments.
Agent build and provenance
See the full provenance
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.
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.
Sources
Publisher resources
1 linkLinked repositories
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.
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.