Agents are event-driven

Event-driven architecture supports how agents operate. Instead of relying on rigid point-to-point integrations, agents must be able to discover, communicate, and subscribe to each other dynamically. Through technologies like Apache Kafka and Apache Flink, which support scalable, decoupled communication, agents tap into shared event streams, subscribe to topics, react to new data, and publish outputs in real time.

Zero-trust governance

Agents operate under strict policies that define which data, tools, and collaborators they’re allowed to interact with. Access is explicitly declared and enforced through the mesh. This prevents unauthorized actions and ensures compliance with enterprise security standards.

The future of interoperable AI

The next phase of agents in the enterprise won’t be defined by how many agents are deployed, but by how well those agents are built and managed. To deliver real business value, agents must be enterprise-grade: secure, observable, reliable, and designed to work as part of a broader system. That requires more than good prompts or clever workflows. It demands an architecture that supports governance, coordination, and control at scale.