New capabilities remove barriers to production-ready AI applications with agent-powered workflows, automated data protection, and private cloud connectivity

Dubai, United Arab Emirates – 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 embeds enterprise-grade governance directly into the data streams.

Continue reading Confluent Makes It Easier to Build and Secure Real-Time AI at Scale →

Support for the Agent2Agent protocol helps connect AI agents anywhere in real time so they can collaborate at enterprise scale

Multivariate Anomaly Detection takes anomaly detection to the next level, stopping problems before they start

Dubai, United Arab Emirates—April 8, 2026—Confluent, Inc. (Nasdaq: CFLT), the data streaming pioneer, today announced new Confluent Intelligence capabilities that connect artificial intelligence (AI) agents and uncover more accurate, intelligent data analysis. Confluent’s Streaming Agents use the Agent2Agent (A2A) protocol to trigger and coordinate external AI agents using real-time data streams, making it easier to connect AI systems across an enterprise. Multivariate Anomaly Detection looks at multiple metrics to automatically spot unusual patterns in data streams, helping teams prevent issues with greater accuracy—before they cause outages or downstream impacts. Together, these capabilities create intelligent context-aware AI systems that adapt as data, agents, and business conditions change.

Continue reading Confluent Intelligence Expands Real-Time Business Data to Enterprise AI →