One control plane.
Total AI agent governance.
See Every Agent. Govern Every Action.
AgentIQ is the In-Flow Control Plane for Enterprise AI.
Most governance tools watch an agent from the outside: a gateway that only sees calls to the LLM or your data. With AgentIQ, you can discover every agent already running in your enterprise, registered or not, and govern it in-flow, inside its own execution path, not from outside it.
You can govern down to the exact parameters of an action, not just block a tool outright, and do it across any framework your teams have already chosen, from LangGraph to OpenAI Agents to CrewAI, with more rolling out.
And you can prove, to the letter, what every agent did and why, with zero added cost or latency on the agent itself.
How AgentIQ works
Discover. Govern. Prove.
The same three moves, applied to every agent in your enterprise: the ones you registered and the ones you didn’t.
Inventory every agent, MCP server, tool and credential already running, including the ones nobody registered.
Action-level policy: allow, require approval, rate-limit, block. Enforced before the action executes, not after.
Immutable, replayable audit of every prompt, tool call, data touch and outcome, evidence an auditor will accept.
AI Agent Governance
Nothing runs ungoverned.
AI agents hold credentials, call tools, move money and touch customer data, and most are invisible to every control you already own. AgentIQ is the control plane built specifically to see, constrain and prove what they do.
- Discover. Every agent, MCP server, tool and credential already running, including the ones nobody registered.
- Constrain. Action-level policy: allow, require approval, rate-limit, block. Enforced before the action executes.
- Prove. Immutable audit of every prompt, tool call, data touch and outcome, replayable for an auditor.
- Report. Map agent behavior to the EU AI Act, NIST AI RMF, and your internal risk framework.
Built For
Governance, risk, and AI leadership.
AgentIQ stands on its own. No existing meshIQ or middleware relationship required. If you have AI agents running that you can’t see or control, that’s the exact problem it solves. If you have AI agents running that you can’t see or control, that’s the exact problem it solves.
CISO
Close the visibility gap.
Know every agent running in your enterprise, not just the ones your team registered. Shadow agents get discovered, not ignored.
Chief Risk Officer
Govern before it’s an incident.
Action-level policy enforced before execution, not a post-mortem after an agent has already moved money or touched data it shouldn’t have.
Head of AI / AI Center of Excellence
Say yes to AI, safely.
Give teams the freedom to build on any framework they choose, with one governance layer underneath, so speed and control aren’t a trade-off.
We have spent twenty-five years making the invisible traffic between enterprise systems observable, governable and accountable. AI agents are just the newest kind of traffic.
Greg DeaKyne, VP Product at meshIQ
Questions
Common questions about AgentIQ
No. We don’t build or sell an agentic framework. Companies choose their own: LangChain, CrewAI, AutoGen, AWS AgentCore, or others, based on their own preference. AgentIQ provides in-flow governance control across all of the popular frameworks available today, plus the same governance control plane across every agent, regardless of which framework built it.
No. AgentIQ doesn’t require an existing meshIQ or middleware relationship. If you have AI agents running that you can’t see or control, that’s the whole problem AgentIQ solves, on its own.
It’s discovered, inventoried, and held to the same default policy as every other agent until someone classifies it. Not silently allowed and not silently blocked. You decide what happens next, with full visibility into what it’s already done.
The goal is the opposite. Teams get the freedom to build on whatever framework fits the job; AgentIQ handles the discovery, policy and audit trail underneath so speed and control stop being a trade-off.
Before. AgentIQ evaluates an agent’s action against policy in-flow, resolving it to allow, hold for approval, throttle, or block, before it executes. That’s different from tools that only log what already happened.
Factsheet
meshIQ AI Agent – the agentic copilot for your middleware team
Ask in plain language, get a diagnosis correlated across platforms, and approve the fix—blast radius shown upfront. It’s one of the agents AgentIQ governs.