meshIQ Launches AgentIQ(TM) as an Autonomous Trust Layer to Help Enterprises Govern AI Agents

By ACCESS Newswire

PLAINVIEW, NY / ACCESS Newswire / September 22, 2026 / meshIQ, a leader in unified infrastructure management, visibility, and tracking, today announced AgentIQ, a new solution that provides real-time governance for AI agents operating across enterprises. Designed for AI and governance leaders across highly regulated sectors, AgentIQ lives inside agents' execution flow, giving organizations visibility into, and control over, 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.

As enterprises deploy and run agents autonomously, a new operational risk layer has emerged that must be monitored and managed: AI agents introduce nondeterministic behavior and make decisions independently across platforms. Enterprises run on traffic they can't see, including messages between systems and now actions taken by AI agents, making visibility into that activity crucial to maintaining control.

Unlike tools that sit outside an agent's execution path, AgentIQ provides in-flow governance from within the agent's execution loop, allowing for real-time intervention as actions happen. Its SDK operates within the agent's reasoning path, where it can apply policies and stop an individual agent mid-execution. AgentIQ dynamically determines whether to allow, escalate, or deny an action based on its runtime parameters, so agents can still act independently as appropriate.

"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," said Greg DeaKyne, Vice President of Product Management at meshIQ. "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."

As industry leaders debate the current pace of AI development, AgentIQ gives enterprises the ability to embed guardrails into agentic AI without curtailing innovation. It 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.

"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," said Navdeep Sidhu, Chief Executive Officer of meshIQ. "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."

Looking ahead, meshIQ is also set to launch meshIQ AI Agent in Q4 2026. meshIQ AI Agent diagnoses issues across IBM MQ, Kafka, TIBCO, Solace, RabbitMQ, and ActiveMQ and provides 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 https://www.meshiq.com/products/agentiq/

PR Contact:

Anthony Barnum Public Relations
Alexandra Morrison
alexandra.morrison@anthonybarnum.com
+1 512-387-3440

About meshIQ:

Trusted by some of the world's largest enterprises, meshIQ provides the visibility, governance, and control to move business-critical data and operate, modernize, and evolve complex enterprise environments. For 25 years, meshIQ has provided management, observability, tracking, automation, and governance across complex middleware environments, helping organizations operate and modernize messaging and streaming technologies across cloud and on-premises infrastructure. meshIQ now applies that same expertise to AI-assisted middleware operations, AI-accelerated modernization, and the in-flow governance of autonomous agents.

SOURCE: meshIQ



View the original press release on ACCESS Newswire

Capital.com is an execution-only brokerage platform and the content provided on the Capital.com website is intended for informational purposes only and should not be regarded as an offer to sell or a solicitation of an offer to buy the products or securities to which it applies. No representation or warranty is given as to the accuracy or completeness of the information provided.

The information provided does not constitute investment advice nor take into account the individual financial circumstances or objectives of any investor. Any information that may be provided relating to past performance is not a reliable indicator of future results or performance.

To the extent permitted by law, in no event shall Capital.com (or any affiliate or employee) have any liability for any loss arising from the use of the information provided. Any person acting on the information does so entirely at their own risk.

Any information which could be construed as “investment research” has not been prepared in accordance with legal requirements designed to promote the independence of investment research and as such is considered to be a marketing communication.