Stop Finding Out About Network Problems from Your Helpdesk 

Announcing the General Availability of Infoblox IQ™ for DDI

There’s a morning every network engineer knows. Users can’t reach internal applications. The helpdesk is lighting up. Your senior engineer is pulled into a war room with logs that don’t tell the full story, reconstructing a timeline from three different tools while the ticket count climbs.

Here’s the part that stings: the signals were there. A DNS forwarder quietly misconfigured after a change nobody ticketed. A DHCP scope that had been trending toward exhaustion for days. The data existed. It just never surfaced in time to matter.

That’s not a staffing problem, and it’s not a tooling gap you can close with one more dashboard. It’s structural. Monitoring tools watch metrics and fire alerts when a threshold is crossed. Connecting the signals across DNS, DHCP and IP address management (IPAM)—noticing that a lease anomaly, a config change and a rising response time are the same story—has always been a human job. Usually your most experienced human. That’s why they’re in every war room.

The Industry Has Reached the Same Conclusion

In its first Market Guide for Agentic NetOps Software, published in May 2026, Gartner projects that by 2030, AI agents will become the most common approach for executing network runtime activities, up from less than 1 percent in early 2026.¹ Their broader Predicts 2026 research points in the same direction: 70 percent of enterprises deploying agentic AI to operate IT infrastructure by 2029, compared with under 5 percent in 2025.²

The January 2026 Enterprise Management Associates (EMA) survey of 458 network professionals puts numbers on why: fewer than a third completely trust the insights their current AI network tools produce, and nearly half say those tools often deliver false or mistaken recommendations.³ We hear the same thing from the network teams we work with. In workshops with enterprise NetOps organizations over the past year, the pattern repeats: they don’t doubt that agents are coming to network operations. They doubt that any of them can be trusted with production infrastructure. An agent that flags anomalies is interesting. An agent that touches DHCP scopes is a career risk.

That gap, between what teams want from agentic AI and what they’re willing to let it do, is exactly what we built for.

Infoblox IQ for DDI Is Now Generally Available

Today, Infoblox IQ™ for DDI is generally available, extending agentic AI operations to the DNS, DHCP and IPAM services that underpin every network connection. It runs on the same architecture already proven in production with Infoblox IQ for Threat Defense: AI actions and the agentic AI assistant, grounded in Infoblox’s authoritative DDI data layer.

Most monitoring tools watch metrics and fire alerts when a threshold is crossed. Infoblox IQ for DDI watches your environment continuously, and when something looks wrong, it opens an action, investigates and builds a recommendation. Manual, multi-tool investigations that used to take hours are reduced to a few minutes: the engineer arrives at a decision, not a stack of data. Across DNS, DHCP and IPAM, actions watch for the failure patterns that cause the war rooms (service degradation, capacity exhaustion, lease anomalies and rogue servers, config drift from out-of-band changes, IP conflicts) with new patterns added as the library grows.

And not every question needs an action. The agentic AI assistant is there when your team has a question and doesn’t want to dig for the answer. “Give me a one-screen health summary of DNS, DHCP and security across all sites,” asked in plain language, answered from live DDI data, no query syntax, no dashboard hunting.

Built the Way a Senior Network Engineer Would Build It

Here’s the question to ask any vendor that is doing a demo of an agent for your network: how does it know whether an anomaly actually matters in a DNS environment? A general-purpose model pointed at network data can surface patterns. It can’t tell you whether a spike is routine noise or the start of an outage. And network professionals have already reached a verdict on that: in the same EMA survey, just 1.3 percent believe a general-purpose AI can learn a network domain on its own.³

Every AI action in Infoblox IQ for DDI starts with an Infoblox DNS and DHCP expert—people who have spent careers operating this infrastructure in production. The model proposes a response; the expert checks it, tuning it with more data and context until the answer matches what they’d conclude themselves. That loop runs before an action ever reaches your environment, and it repeats every time a new failure mode emerges. The result: every engineer on your team investigates like your most experienced one.

The second difference is where the intelligence lives. Other tools observe your network from the outside: reading logs, polling APIs, inferring what’s happening from infrastructure they don’t control. Infoblox IQ for DDI is grounded in the data layer only Infoblox can see. When it flags a latency anomaly on a DNS server, it isn’t inferring from a syslog; it’s embedded in the resolver itself, with the query rate, the response-time distribution and the zone load, not an estimate of them. That’s not a data integration. It’s a structural advantage no overlay tool can replicate.

Governed by Design

This is the part that closes the trust gap. Infoblox IQ diagnoses the issue and recommends the fix. When automated remediations are available, your engineers approve with one click. Every recommendation, every approval, every change is logged: what changed, when, who authorized it, what the environment looked like before. Half of organizations say they’d allow automated action on their network only selectively, on low-risk operations⁴—and they’re right to. Agentic AI only earns a place in network operations if every action is visible, approved and reversible. Infoblox IQ is built to be checked, not trusted blindly.

That’s why teams that wouldn’t hand an autonomous agent the keys to production are comfortable putting Infoblox IQ for DDI to work there. It works at the speed of AI and moves at the speed of your approval.

What Changes for Your Team

Infoblox IQ for Threat Defense proved this model with security operations teams: agentic AI, expert-validated, grounded in authoritative DDI data. Infoblox IQ for DDI brings network operations onto the same foundation. Your team stops being the last to know. Triage that meant grepping logs across three tools becomes a few minutes of conversation. The helpdesk goes back to being a helpdesk, not your monitoring system.

The signals were always there. Now they surface while there’s still time to act.

Infoblox IQ for DDI is generally available today. Talk to an Infoblox expert to see it in your environment.

Sources

1. Market Guide for Agentic NetOps Software. Leibovitz, Mike. Lerner, Andrew. Forest, Jonathan. Zimmerman, Tim. Gartner. May 19, 2026. https://www.gartner.com/en/documents/7875077
2. Predicts 2026: AI Agents Will Transform IT Infrastructure and Operations. Haight, Cameron. Banerjee, Ashish. Antelmi, Joe. Forest, Jonathan. Mukhyala, Chandra. Gartner. December 4, 2025. https://www.gartner.com/en/documents/7242030
3. AI-Driven NetOps: How Enterprises are Embracing Intelligent Network Management Solutions. McGillicuddy, Shamus. Enterprise Management Associates (EMA). January 2026. https://www.enterprisemanagement.com/product/ai-driven-netops-how-enterprises-are-embracing-intelligent-network-management-solutions-2/

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