Insights hub.
From success stories to strategic insights — explore the ideas shaping what’s next.
Featured resources.
Whitepaper
AI Accelerated Middleware Modernization
7 Strategic Shifts for Reducing Complexity, Accelerating Transformation, and Preparing for Agentic AI.
Blog
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.
Ebook
Governing Al Agents in Flight
Nine practical steps for governing autonomous AI agents before they act, without removing the autonomy that makes them valuable.
Blog
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.
Article
Exploring AI Observability – Part 6: Metrics
Why latency and uptime no longer answer the key question for AI, and how experts measure quality, authorization, and cost per business outcome.
Article
California Subpoenas OpenAI Over AI Agent Cybersecurity Breaches
California investigates OpenAI’s autonomous agents, exposing the need for governance controls as AI systems operate outside developer intent.
Blog
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.
Article
Exploring AI Observability – Part 4: Challenges
Industry experts reveal why AI observability requires mindset shifts, shared standards, and connected traces to identify agentic failures at scale.
Blog
Governing AI Agents From the Inside: What We Learned Building AgentIQ™
When every employee is building AI agents, seeing what they did afterward isn’t enough. AgentIQ™’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.
Blog
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.
Article
meshIQ’s AgentIQ™ puts AI agent runtime controls to the test
Why AI agent runtime controls depend on enforcement point placement, not just detection or alerts—and where control boundaries end.
Blog
What Is AgentIQ™? 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. AgentIQ™ 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.
Press Release
meshIQ Launches AgentIQ as an Autonomous Trust Layer to Help Enterprises Govern AI Agents
AgentIQ brings in-flow governance to AI agents, enabling enterprises to control autonomous operations across frameworks without slowing innovation.
Blog
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.