The meshIQ blog.
Our blog offers insights into pivotal and disruptive technologies, including Hybrid Cloud, Messaging Middleware, AI, and more, contributed by meshIQ experts and innovators.
Featured.
AIOps, Cloud Security, Compliance, Integration, meshIQ
Agentic AI Is Becoming the Enterprise’s Connective Tissue. Governance Has to Move Into the Flow.
McKinsey’s 2026 tech report calls agentic AI the ‘connective tissue of the enterprise.’ But agents that act at machine speed need governance at machine speed too. Static controls won’t work for dynamic agents—active, in-flow guardrails must run before the action, not after.
Apache ActiveMQ®, Messaging, Middleware, Middleware Optimization, Monitoring, MQ
10 Questions to Ask an Apache ActiveMQ® Support Vendor
Deciding to buy open source support for Apache ActiveMQ® is the easy part. Working out which vendor can actually keep a broker alive at three in the morning is considerably harder, because nearly every vendor in this market is vague in exactly the same places.
AIOps, Cloud Security, Compliance, meshIQ, Observability
Banks Found AI Agents Inside Customer Accounts. Nobody Approved What They Did.
Major US banks have found AI agents operating inside customer accounts, signed in with credentials customers handed over themselves. Nothing was breached. The agents authenticated correctly, and some of them still did things nobody asked for. That gap between having access and having authority is the agentic AI security problem every enterprise running agents now owns.
Apache ActiveMQ®, Messaging, Middleware, Middleware Optimization, MQ
Apache ActiveMQ® CVE-2023-46604: DripDropper Exploit Explained
When a CVSS 10.0 vulnerability is published, the expectation is that affected software gets patched within days. When it involves an open-source broker that processes business-critical transactions in enterprise environments, the expectation is that the security teams responsible for those brokers treat it as an emergency. “The attacks exploit a maximum-severity security flaw in Apache
Apache ActiveMQ®, Messaging, Middleware, Middleware Optimization
Apache ActiveMQ® CVE Guide: Complete Vulnerability Reference
This Apache ActiveMQ® CVE guide is the maintained reference for every significant Apache ActiveMQ® vulnerability: what it does, how it is scored, which versions it affects, which release fixes it, and whether it is being exploited.
AIOps, Cloud Security, Compliance, Integration, meshIQ
What Are AI Agents? How They Work, Why They Matter and Why They Need Governance
An AI agent doesn’t just answer questions—it takes actions in real systems. As teams across the enterprise build their own agents, governance can’t be an afterthought. Learn how agents work, why they create new risks, and what controls are needed before they act, not after.
AIOps, Cloud Security, Compliance, Integration, meshIQ
Agentic AI Is Becoming the Enterprise’s Connective Tissue. Governance Has to Move Into the Flow.
McKinsey’s 2026 tech report calls agentic AI the ‘connective tissue of the enterprise.’ But agents that act at machine speed need governance at machine speed too. Static controls won’t work for dynamic agents—active, in-flow guardrails must run before the action, not after.
AIOps, Cloud Security, Compliance, Devops, meshIQ
Governing AI Agents From the Inside: What We Learned Building AgentPatrol™
When every employee is building AI agents, seeing what they did afterward isn’t enough. AgentPatrol™’s in-flow governance runs inside the agent’s execution flow—pausing for human approval, enforcing policies by value, masking PII, and stopping runaway agents before costs spiral.
Apache Kafka®, AWS, Integration, meshIQ, Middleware, Streaming
Moving Mainframe Data to Snowflake and AWS Through Apache Kafka®: Treehouse Software and meshIQ
Treehouse Dataflow Toolkit moves mainframe data from Db2, VSAM, and IMS through Apache Kafka® pipelines into Snowflake and AWS targets. meshIQ keeps the streaming layer visible and stable. Together they give data science teams continuously updated enterprise data for AI and ML.
AIOps, Cloud Security, Compliance, meshIQ, Observability
What Is AgentPatrol™? Inside meshIQ’s In-Flow Governance Control Plane for AI Agents
Enterprises are running AI agents nobody has counted, holding credentials nobody reviewed, taking actions nobody can audit. AgentPatrol™ governs what agents are allowed to do at the moment of action—inside the execution flow—not after the fact through a gateway watching from outside.
AIOps, Cloud Security, Compliance, meshIQ
When AI Agents Attacked Their Own Evaluators, the Industry’s Own Leaders Started Asking for Guardrails
When AI agents attacked their own evaluators in July 2026, it exposed a gap no policy commitment can close. The OpenAI Hugging Face incident revealed that enterprise agent governance requires in-flow runtime controls, not retrospective auditing or industry safety agreements.
AIOps, Compliance, IBM MQ, Middleware, Observability
McKinsey Says Agentic Enterprises Need “Automated Guardrails.” Here’s What That Means
McKinsey studied 20 enterprises that created real AI value and found only a few reached Stage 3: Agentic AI enterprise. The deciding capability is automated guardrails built into execution, not bolted on after. Most enterprises are still applying Stage 2 thinking to a Stage 3 problem.
AIOps, Compliance, meshIQ, Middleware, Middleware Optimization
Why Most Enterprise AI Agent Programs Overspend, and What Actually Fixes It
Enterprise AI agent programs overspend because leaders optimize token costs, which represent just 20-25% of variable run costs. Human oversight accounts for 70-75%. The real fix is reducing exception rates and embedding governance directly into agent execution from the start.