The Onug Blog
Enterprise Cloud 2.0 Technology Solutions, Strategy and Use Cases
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There is a company at the center of this year’s keynote at the AI Networking Summit, and I want to tell you about it before you meet it in New York. It is not a careless company. That is the point. It has a managed registry. Nothing its engineers or its agents run comes straight off the public internet; it comes through a central, curated source. Every artifact that passes through that source is scanned. A software bill of materials is generated for it. It…
Preparing for agentic infrastructure requires making changes to how the network is operated, not just what it carries. At the AI Networking Summit Dallas 2026, Cisco’s Tom Gillis described an important convergence. AI awareness built into network security, security built into the fabric of the network, and the network built into the GPU compute complex. His message was that AI creates a wave of new problems for infrastructure teams, and also the tools to solve them. Here are five questions every enterprise leader should be…
Preparing for agentic infrastructure is a trust problem. Every network operations leader has lived through the alarm swarms and ticket swarms of the traditional NOC. Agentic AI allows specialized agents to absorb that noise, find root cause, and act. The promise is real. But an agent’s decisions are only as trustworthy as the data it’s provided, the paths it can act through, the people who supervise it, and the economics that justify it. That was the throughline of From NOC to AOC – Agentic Operations…
A few years back, I ran an exercise with a customer that I still think about today. We pulled the application definitions out of their CMDB, every app, the ports it was supposed to use, the systems it was supposed to talk to, and loaded them into their flow analysis platform as custom application definitions. The goal was housekeeping. If the reports were going to be labeled with real application names instead of port numbers, the definitions needed to match what the CMDB said. Then…
Infrastructure teams are being pushed to put AI agents to work. But before you give an agent permission to provision services, change configurations, or make other infrastructure decisions, thereʼs a more fundamental question to address: Can it trust your data? Data that works for human-driven automation may not work for autonomous agents. Engineers can spot missing information, investigate inconsistencies, and work around systems they know are unreliable. Agents need much clearer rules. Here are five signs your infrastructure data isnʼt ready for them yet. Five signs…
For decades, one of cybersecurity’s biggest challenges was finding vulnerabilities. AI may be about to reverse that problem. What happens when enterprises can suddenly find more vulnerabilities than their security and infrastructure teams can operationalize, test, patch, and mitigate? This question drove a discussion at the AI Networking Summit 2026 in Dallas that featured Mick Curry of Fidelity, John Feldmayer of eBay, Chris Moretti of Cigna Health, and Tom Gillis of Cisco. The conversation pointed to a fundamental shift in enterprise security: AI is beginning…
As enterprises move from experimenting with AI to deploying agents that can act, communicate, write code, and make decisions, the security conversation is changing too. For decades, enterprise security has focused largely on authenticating people, applications, and infrastructure. Agentic AI introduces something different: autonomous systems that can take action on behalf of the organization and interact with other agents, systems, and potentially other companies. That makes security about more than preventing access. Enterprises need to know what an agent is allowed to do, how far…
The first generation of agentic AI in IT operations focused on capability — giving machines the ability to investigate, reason, recommend, and execute. The next question is more consequential: what happens when those capabilities are organized around responsibility rather than tasks? The industry has grown sophisticated at decomposing operational work across specialized agents — one investigates a signal, another assesses a change, another recommends or executes a remediation. Individually, these capabilities can be powerful; collectively, they don’t necessarily add up to an operational role. Decomposition…
Artificial intelligence has rapidly become part of everyday business operations. Employees are using AI to summarize meetings, write code, analyze data, draft emails, and automate repetitive tasks. Software vendors are also embedding AI into business software and cybersecurity tools. While AI offers enormous productivity benefits, it also introduces cybersecurity risks. Employees are interacting with AI tools that haven’t been approved by IT, uploading sensitive information into public models, or granting AI-powered applications access to corporate data. The question is no longer whether your organization should…
A significant shift has happened in supply and demand, creating challenges on multiple levels across data centers. Not only is the demand for power and floor space increasing, but there is the dramatic shift in costs driven by a massive increase in worldwide demand for silicon, particularly for memory and storage silicon, because of AI. Gartner says that $2.52 trillion will be spent on AI in 2026, growing to $3.33 trillion in 2027¹. Major hyper-scalers alone are expected to spend $650 billion on AI and…
