Infoblox launches AI operations layer to cut through alert noise
Infoblox announced Infoblox IQ, an agentic AI system designed to reduce the operational noise that network and security teams face daily. The platform analyzes DNS queries, DHCP leases, IP assignments and security events to identify issues faster and automate investigations.
The system works by correlating thousands of alerts into prioritized actions. In one customer deployment, Infoblox IQ reduced over 504,000 operational events to 24 actionable items. Investigations that previously took 45 to 90 minutes of manual work surfaced immediately with context.
How it works for your team
Infoblox IQ includes a natural language interface and automated actions. Network operators can ask questions and receive recommendations without navigating multiple consoles or searching through logs manually.
For security teams, the system correlates threats, assets, users and devices into investigation paths. For network teams, it identifies performance, configuration and capacity issues before they affect users.
The data foundation
Infoblox built IQ on 25 years of DNS, DHCP and IP address management experience across thousands of customer deployments. The company holds authoritative data on network infrastructure that most AI agents and automation systems lack access to.
Infoblox also released a Model Context Protocol (MCP) Server that makes network and security data available to third-party AI assistants through a standard interface. This eliminates the need for custom integrations.
Availability and capabilities
Infoblox IQ for Threat Defense launches by month-end. The DDI module, AI assistant and MCP server integration are available to early access customers now, with general availability expected in fall 2026.
- Threat Defense: Agentically investigates DNS security alerts, determines root cause and presents SOC analysts with confirmed threats and remediation steps
- DDI: Surfaces network configuration issues, provides root cause analysis within seconds and delivers guided remediation with audit trails
Mukesh Gupta, chief product officer at Infoblox, said the company built IQ on a straightforward premise: the data Infoblox already holds provides one of the clearest views of what happens on an enterprise network. As organizations move from AI pilots to production agentic operations, the infrastructure data those systems rely on must be current and trustworthy.
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