
Constant Bridon developed and integrated Azure AI capabilities for NLQ and cloud endpoint support within the OpenCTI-Platform/opencti repository, focusing on expanding enterprise deployment options and configurability. Using TypeScript and leveraging cloud services, he exposed Azure AI as a selectable NLQ model in the backend, introducing new configuration parameters to support flexible enterprise usage. He also enhanced the OpenCTI-Platform/docs repository by documenting AzureAI cloud endpoint support, clarifying configuration and deployment details for users. His work emphasized robust AI integration, backend development, and clear documentation, delivering two features that improved operational flexibility and enterprise readiness without introducing any new bugs.

Implemented Azure AI capabilities for NLQ and cloud endpoint support, expanding enterprise deployment options and configurability. Delivered backend and docs enhancements to enable Azure AI as a selectable NLQ model and as a cloud endpoint, with clear configuration parameters for Azure AI instances and deployments. This month prioritized feature delivery and documentation to drive enterprise adoption and operational flexibility.
Implemented Azure AI capabilities for NLQ and cloud endpoint support, expanding enterprise deployment options and configurability. Delivered backend and docs enhancements to enable Azure AI as a selectable NLQ model and as a cloud endpoint, with clear configuration parameters for Azure AI instances and deployments. This month prioritized feature delivery and documentation to drive enterprise adoption and operational flexibility.
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