Corridor GGX on Microsoft Azure combines next-generation AI governance with the enterprise-grade scalability, compliance, and security of Azure — securely manage GenAI pipelines, run rigorous validations, and accelerate responsible innovation on Microsoft's trusted cloud.
Azure Blob Storage and Synapse Analytics give GGX a scalable, secure foundation for governed AI — from raw inputs to operational evaluation outcomes.
Store raw data, prompts, completions, logs, and metadata securely. Azure Blob offers tiered storage, lifecycle rules, encryption, and geo-redundancy to ensure optimal data integrity and cost-efficiency.
Perform large-scale data integration, warehousing, and real-time analytics across structured and unstructured sources. Leverage Synapse SQL and Spark for fast querying and dynamic transformations within the GGX platform.
Key features
Azure Machine Learning and Azure OpenAI — wired into GGX for end-to-end, governed AI orchestration across experimentation, deployment, and monitoring.
GGX connects to Azure ML for model registration, experimentation, deployment, and monitoring. Take advantage of MLOps tooling, interpretability features, and AutoML capabilities.
Integrate Microsoft's hosted foundation models (like GPT-4) directly into your enterprise stack. GGX applies layered governance to prompt management, hallucination detection, and continuous learning.
Key features
Azure SQL Database and Azure Virtual Machines (with AKS) keep GGX deployments performant, scalable, and audit-ready.
Fully managed relational database for storing configurations, logs, metrics, and audit trails. Offers high availability, auto-scaling, and built-in backup and restore.
Use VMs or containerized services on Azure Kubernetes Service (AKS) to run workload-specific components — agent runners, validators, batch processors — with autoscaling support.
Key features
Comprehensive security and governance powered by Microsoft Azure — zero-trust by default, with detailed audit trails and policy-based access control.
Protect data in transit and at rest using Azure's built-in encryption standards — TLS 1.2+ and AES-256 — across the platform.
Integrate with Microsoft Entra ID (formerly Azure AD) to enforce fine-grained access controls, RBAC policies, and managed identities. Configure private endpoints, firewall rules, and log analytics with Azure Monitor and Microsoft Defender for Cloud.
Key features
Corridor GGX is available as a cloud-native SaaS deployment on Azure — with secure, ready-to-go integrations across the Azure services your AI stack already runs on.
Bring GGX into your Azure environment — Azure OpenAI, Machine Learning, Synapse, and the rest of the Azure stack, wrapped in the governance your business and risk teams need.