Category: meshIQ
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.
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.
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.
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.
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.