meshIQ has launched AgentIQ, a new AI agent governance solution designed to provide enterprises with real-time visibility, oversight, and control over autonomous AI agents. The platform operates directly within an agent’s execution flow, allowing organizations to enforce policies, intervene in potentially risky activities, and maintain comprehensive audit records as AI agents operate across different enterprise systems and frameworks.
The launch addresses a growing challenge for enterprises deploying autonomous AI systems. As organizations introduce AI agents capable of independently making decisions and interacting with enterprise applications, data, and other agents, maintaining visibility and control over their activities has become increasingly important.
Designed for AI and governance leaders in highly regulated industries, AgentIQ helps organizations discover agents operating across their environments, establish policies governing their permitted activities, and maintain records of their actions. The solution is intended to help enterprises expand their use of agentic AI while managing the operational risks associated with autonomous decision-making.
Unlike traditional governance tools that operate outside an agent’s execution path, AgentIQ embeds governance directly into the agent’s execution loop. Its software development kit operates within the agent’s reasoning process, enabling organizations to apply policies and intervene before potentially risky actions are completed.
The platform evaluates an agent’s activities against established policies and runtime parameters to determine whether an action should be allowed, escalated for additional review, or denied. This approach enables organizations to maintain oversight without requiring every agent action to undergo manual approval.
By providing real-time intervention capabilities, AgentIQ enables enterprises to respond to potentially problematic activities as they occur rather than relying exclusively on retrospective monitoring and audits. The system also creates an audit record that organizations can use to investigate agent behavior, demonstrate compliance, and review operational decisions.
The platform builds on meshIQ’s 25 years of experience managing and governing enterprise data integration environments. The company has traditionally focused on providing visibility, management, tracking, automation, and governance for complex middleware environments and business-critical data flows.
With AgentIQ, meshIQ is extending those capabilities beyond traditional messaging and data infrastructure to support autonomous AI systems. Its approach applies established data governance principles to interactions involving AI agents, large language models, enterprise applications, and external systems.
The company is also preparing to introduce meshIQ AI Agent in the fourth quarter of 2026, expanding its artificial intelligence capabilities into infrastructure operations. The upcoming solution will help enterprises diagnose issues across IBM MQ, Apache Kafka, TIBCO, Solace, RabbitMQ, and ActiveMQ.
meshIQ AI Agent will provide a unified conversational interface for managing multiple enterprise infrastructure platforms, allowing organizations to investigate operational issues without switching between separate management tools.
Together, AgentIQ and meshIQ AI Agent are intended to expand the company’s capabilities across autonomous agent governance and AI-assisted infrastructure management. The combined offerings will help enterprises maintain visibility and operational control as they incorporate more AI-driven processes into their existing technology environments.
KEY QUOTES:
“Enterprises are already deploying hundreds of AI agents, but many of them don’t have the guardrails in place to support autonomous operations at scale. AgentIQ provides the essential oversight organizations need to govern agents and stop risky actions, so governance can function as an enabler of speed rather than slowing it down.”
Greg DeaKyne, Vice President of Product Management at meshIQ
“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. AI agents require that same visibility, governance, and control, so we’re extending our longstanding expertise on ‘data in motion’ to govern how agents interact with other agents, data, LLMs and external systems. This puts us in a unique position to help organizations manage agentic operations effectively.”
Navdeep Sidhu, Chief Executive Officer of meshIQ
