Confluent makes the AI data layer safer and simpler
Briefly

Confluent makes the AI data layer safer and simpler
Confluent is adding features to Confluent Cloud and Confluent Intelligence to reduce security barriers and tool fragmentation in AI pipelines. A managed MCP server provides a control plane for AI to control, manage, and debug streaming operations using natural language, with Agent Skills encoding best practices for consistent execution. Automatic PII detection and redaction are available directly in Flink SQL without custom development or external services, supporting regulated industries. Azure Private Link support enables Flink jobs to connect to Azure OpenAI, Azure SQL, and Cosmos DB through private networking rather than the public internet. A free open-source dbt adapter integrates Flink SQL with dbt workflows for defining, testing, and deploying streaming pipelines. Confluent also expands model offerings with TimesFM and models from Anthropic and Fireworks AI.
"Most AI projects fail before they reach a single customer because the data layer breaks down. Teams have the models and the mandate, but security risks and fragmented data stop them from shipping. We're fixing that by making the streaming layer the foundation for secure, production-ready AI."
"Central to this is the Confluent MCP server, a control plane that allows AI to control, manage, and debug streaming operations via natural language. Agent Skills add a second layer to this. They encode best practices to ensure those operations run consistently. Both features are generally available for Confluent Cloud."
"Also new is automatic PII detection and redaction directly within Flink SQL, without custom development or external services. This opens the door to use in highly regulated sectors such as financial services, healthcare, and insurance. The feature is in early access for Confluent Intelligence."
"For secure connectivity, Confluent now supports Azure Private Link, allowing Flink jobs to connect to Azure OpenAI, Azure SQL, and Cosmos DB via Microsoft's private network. This keeps AI workloads off the public internet. Integration with dbt and the IBM ecosystem"
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