Confluent expands real-time AI capabilities with new security and developer tools.
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Confluent expands real-time AI capabilities with new security and developer tools. May 20, 2026 Confluent, an IBM company and the data streaming pioneer, today announced new capabilities in Confluent Intelligence and Confluent Cloud that streamline how real-time artificial intelligence (AI) applications are built and secured. These updates remove the security and complexity barriers that stop organizations from moving AI workloads into the real world. Confluent unifies the AI life cycle with tools that developers already live in, integrating Apache Flink pipelines with dbt (data build tool) and introducing a fully managed Model Context Protocol (MCP) server and Agent Skills that let AI manage streaming operations. With automated personally identifiable information (PII) redaction and private connectivity to external models via Azure Private Link, Confluent also embeds enterprise-grade governance directly into the data streams. "Most AI projects fail before they reach a single customer because the data layer breaks down," said Sean Falconer, head of AI at Confluent. "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." The problem is widespread, according to a McKinsey report that says, "... eight in ten companies cite data...
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