meshIQ Launches AgentIQ for Real-Time Governance of AI Agents

PLAINVIEW, N.Y., September 22, 2026 /CourierPR/ -- meshIQ, a leader in unified infrastructure management, visibility, and tracking, has launched AgentIQ, a new solution designed to provide real-time governance for AI agents operating across enterprises. The company, which has 25 years of governance expertise, aims to help organizations gain greater visibility and control over their agentic operations.

AgentIQ operates as an autonomous trust layer within AI agents' execution flow, giving enterprises the ability to monitor and control agent actions across different agentic frameworks. The solution discovers every agent running in the enterprise, controls what actions each can take, and maintains a complete audit record. This is crucial as enterprises deploy and run agents autonomously, introducing nondeterministic behavior and making decisions independently across platforms.

Unlike tools that sit outside an agent's execution path, AgentIQ provides in-flow governance from within the agent's reasoning path. It can apply policies and stop an individual agent mid-execution, dynamically determining whether to allow, escalate, or deny an action based on its runtime parameters. This allows agents to act independently as appropriate while ensuring that organizations can still maintain control.

AgentIQ serves as the control plane across every message, every migration, and every agent, allowing enterprises to observe, govern, and act on activity in real time rather than after the fact. This is particularly important as industry leaders debate the current pace of AI development. AgentIQ gives enterprises the ability to embed guardrails into agentic AI without curtailing innovation.

For 25 years, meshIQ has built and applied a proven governance model across the infrastructure and data integration layer, managing the message flows that connect complex enterprise environments. Now, the company is extending its expertise to govern how AI agents interact with other agents, data, large language models (LLMs), and external systems. This puts meshIQ in a unique position to help organizations manage agentic operations effectively.

Looking ahead, meshIQ is also set to launch meshIQ AI Agent in Q4 2026. This solution will diagnose issues across IBM MQ, Kafka, TIBCO, Solace, RabbitMQ, and ActiveMQ and provide one conversational interface across every infrastructure platform enterprises already run. Together, these solutions expand meshIQ's AI capabilities across infrastructure operations and the governance of autonomous agents.

To learn more about AgentIQ, visit www.meshiq.com/products/agentiq.