Corridor GGX on AWS combines next-generation AI governance with the enterprise-grade scalability, compliance, and security of Amazon Web Services — securely manage GenAI pipelines, run rigorous validations, and accelerate responsible innovation on AWS's trusted cloud.
Amazon S3 and Redshift give GGX a scalable, durable foundation for governed AI — from raw inputs to operational evaluation outcomes.
Store raw data, prompts, completions, logs, and metadata securely. S3 offers tiered storage, lifecycle rules, encryption, and cross-region replication to ensure optimal data integrity and cost-efficiency at any scale.
Run large-scale analytics across structured and unstructured AI workload data with Redshift's warehouse and Athena's serverless SQL on S3 — fast querying, no infrastructure to manage, and tight integration with the rest of the AWS stack.
Key features
Amazon SageMaker and Amazon Bedrock — wired into GGX for end-to-end, governed AI orchestration across experimentation, deployment, and monitoring.
GGX connects to SageMaker for model registration, experimentation, deployment, and monitoring. Take advantage of MLOps tooling, interpretability features, and managed training and inference endpoints.
Integrate hosted foundation models from Anthropic, Meta, Cohere, AI21, and Amazon directly into your enterprise stack. GGX applies layered governance to prompt management, hallucination detection, and continuous learning.
Key features
Amazon RDS and EC2 (with EKS for containers) keep GGX deployments performant, scalable, and audit-ready.
Fully managed relational database for storing configurations, logs, metrics, and audit trails. RDS offers high availability with Multi-AZ, automatic scaling with Aurora, and built-in backup and restore.
Use EC2 instances or containerized services on Elastic Kubernetes Service (EKS) to run workload-specific components — agent runners, validators, batch processors — with autoscaling support.
Key features
Comprehensive security and governance powered by AWS — zero-trust by default, with detailed audit trails and policy-based access control.
Protect data in transit and at rest using AWS Key Management Service — TLS 1.2+ and AES-256 — across the platform. Bring your own keys (BYOK) and rotate them on your own schedule.
Integrate with AWS IAM and IAM Identity Center to enforce fine-grained access controls, role-based policies, and federated single sign-on. Configure private endpoints, security groups, and audit with AWS CloudTrail.
Key features
Bring GGX into your AWS environment — Bedrock, SageMaker, S3, and the rest of the AWS stack, wrapped in the governance your business and risk teams need.
