Responsible AI For Banking
With Corridor
on
Unlock the Full Potential of Your AI Workflows with Corridor GGX and Microsoft Azure
Corridor GGX on Microsoft Azure combines next-generation AI governance with the enterprise-grade scalability, compliance, and security of Azure. This integration empowers financial institutions to securely manage GenAI pipelines, perform rigorous validations, and accelerate responsible innovation using Microsoft’s trusted cloud platform
Data
Simplified Data Management and Insights
Azure Blob Storage and Synapse Analytics for Scalable Data Solutions
Azure Blob Storage
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
Azure Synapse Analytics
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
- Scalable and secure storage with flexible pricing tiers
- Unified analytics platform for operational and model data
- Seamless integration with AI pipelines and downstream apps
AI
Advanced AI Integrations with Microsoft Azure
Azure Machine Learning, OpenAI, and other Services for End-to-End AI Orchestration
Azure Machine Learning (Azure ML)
GGX connects to Azure ML for model registration, experimentation, deployment, and monitoring. Take advantage of MLOps tooling, interpretability features, and AutoML capabilities
Azure OpenAI
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
- Accelerated experimentation and deployment with built-in MLOps
- Responsible AI enforcement with bias/fairness dashboards
- Out-of-the-box integration with pre-trained generative and analytical models
- Real-time agent orchestration across apps, models, and humans-in-the-loop
Infra
Reliable and Flexible Infrastructure for AI and Business Workflows
Azure SQL Database and Azure Virtual Machines for Scalable Compute
Azure SQL Database
Fully managed relational database for storing configurations, logs, metrics, and audit trails. Offers high availability, auto-scaling, and built-in backup/restore
Azure Virtual Machines
Use VMs or containerized services on Azure Kubernetes Service (AKS) to run workload-specific components (e.g., agent runners, validators, batch processors) with autoscaling support
Key Features
- Proven performance and uptime for critical workflows
- Support for hybrid compute environments and secure networking
- Seamless integration with CI/CD and observability stacks
Security
Enterprise-Grade Protection for Your Data and Workflows
Comprehensive Security and Governance with Microsoft Azure
Data Encryption
Protect data in transit and at rest using Azure’s built-in encryption standards (TLS 1.2+, AES-256)
Identity and Access Management
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
- Zero-trust architecture aligned with enterprise security standards
- Detailed audit logs and policy-based access control
- Secure by default—no exposure of customer data or models without explicit consent
Ready To Deploy
Corridor GGX is available as a cloud-native SaaS deployment on Azure, enabling secure integrations with Azure
Blob Storage
Synapse Analytics
Machine Learning
OpenAI
SQL Database
Virtual Machines