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Gluware

Gluware Intelligent Network Automation solutions are deployed in the mission-critical networks of leading Global 2000 enterprises.

To learn more, visit our website at www.gluware.com or contact us at [email protected].

08/27/2026

🧼 Lemon Fresh. Ultra Concentrated. Cuts Through Config Drift.

Network automation promises a clean network, but it often just piles up in the sink like undone dishes, buried under manual work that never seems to go away.

Meanwhile, drift is spreading like last night's grease.
Brownfield OS versions stacked higher than the dishes after Thanksgiving.

You've tried ignoring it. You've tried rolling your own. You've tried telling yourself it's fine.
It's not fine. 😅. That brownfield network isn't going to clean itself up.

That's where Gluware comes in.

Gluware's special formula, DIAL, translates your brownfield network into a usable intent model. That way you can apply clean standards and policies, then cut through configuration drift fast — automating your brownfield network from chaos to clean in days and weeks, not months and years.

✅ 56 OS across 22 vendors
✅ Clean, validated read and write to your network
✅ Titan AI to make a little elbow grease go a lot farther than ever before

Cut through config drift fast. With Gluware. 🍋

Is your network overdue for a deep clean? Visit gluwaredotcom to learn more and request a demo.

08/25/2026

Everyone is talking about autonomous AI agents running networks. But most network teams are nowhere near ready to hand over the keys.

According to the Network Automation Forum's 2025 State of Network Automation Survey, only 1.5% of organizations have deployed fully autonomous remediation. Just 3% have AI systems connected to production network data and systems.

We’re not talking about an AI problem here. Network leaders are having trust issues, for good reason.

Why? Because network teams need confidence that AI is operating on accurate network state, producing explainable recommendations, and executing within clear governance boundaries.

But we’re not there yet.

That's why the future of Agentic NetOps won't be built on autonomous ex*****on alone. It will be built on validated automation, governed workflows, and trusted operational guardrails.

As Ernest Lefner explores in his latest blog, the path to autonomous networking starts with earning trust first.

Read the full article: https://gluware.com/why-network-leaders-arent-ready-to-hand-the-keys-to-ai-agents-yet/

08/20/2026

A primary benefit of AI for network teams is to make automation accessible to every engineer.

Most network engineers did not sign up to become Python developers. They became network engineers because networks are complex, mission-critical, and technically interesting to master.
But the push to automate has quietly redrawn the job description, and teams that excel at keeping critical infrastructure running are now measured against a skillset that was never part of the deal.

Gartner describes a common network automation plateau of 10-25% coverage. While there are technical obstacles (serious ones especially for brownfield network), another major obstacle is human adoption.

If you're not an automation-native, developing those skills at pace while you have a demanding day job keeping the BAU lights on is non-trivial, and it creates massive adoption friction.

AI can bend the branch lower. Not by replacing network engineers, but by translating between their deep network expertise and automation's technical requirements.

With AI, knowledgeable engineers don't have to be experts at crafting regex. They can ask AI for the regex. Or ask it to draft the API call. Or to explain what broke. The branch bends lower and every engineer on the team becomes an automation builder.

Our own Ernest Lefner wrote about what this means in practice for network teams trying to break through the automation ceiling. Check out the blog. https://gluware.com/ai-should-bend-the-branch-lower-for-network-automation/

08/18/2026

Is the race to agentic NetOps moving faster than the trust infrastructure required to make it safe?

Gluware CEO Jeff Gray shares his perspectives on returning from Red Hat Summit and ONUG AI Networking Summit:

🔓The threat environment is outrunning human response. AI-powered network vulnerability discovery and exploitation is happening near real-time. Teams need a way to respond fast that is reliably relevant.

💣Agents that give a wrong recommendation are a risk. But agents that automate deploying errors are a whole different level of risk. Do you have the validation layer to prevent that?

🧠 Agentic orchestration needs a specialist networking layer to act with governed trust, and that can’t be a bolt-on after the fact.

That’s why Gluware Titan AI and Titan Exposure Management are built on the foundation of DIAL–the Device Interaction and Automation Layer, that acts as the validated semantic translation layer to ensure that everything that is read, and everything that is written to the network is locally accurate and driven by a holistic intent model.

Read the blog: https://gluware.com/agentic-netops-is-only-as-good-as-the-trust-layer-beneath-it/

08/13/2026

🤠 You inherited a bunch of network pets. It's time to build a herd.

Somewhere in your network, there's a Cisco Catalyst 6509 that gets hand-fed configs like a house cat. A Juniper NetScreen that's been babied since 2008. A Foundry BigIron with its own nickname and a sticky note that says "DO NOT TOUCH."

You've got pets. What you need is cattle.

But here’s where most network automation journeys go sideways.
Before you can automate anything, you have to spend months, sometimes years, manually documenting your environment, creating scripts for things that nobody understands anymore and for some devices that don’t even have APIs, building your intent model from scratch, and marching through a painful onboarding process just to reach the starting line.

Gluware doesn't do that to you.

Instead of forcing a long march before you can ride, Gluware discovers your network for you, pulling device configs and active state across your entire multi-vendor environment, then self-assembling your intent model automatically.

Your network tells Gluware what it is.
Then Gluware turns that into a usable intent model as the foundation for automation.
In other words, Gluware transforms pets into cattle.

From there, the herd starts moving to its real destination.
In days and weeks (not months and years), network teams are automating compliance, config management, getting rid of drift and changing operations at scale, across every vendor, every device, every era of hardware.

🐄 Pets become cattle.
🤠 Chaos becomes a herd.
⚡ Your network goes where you point it.

Ready to tame your network?

👉 See how fast you can ride: gluware.com

08/11/2026

Built to slay Mythos? We didn’t say that but we’ll definitely take it.

Last week, we announced Titan Exposure Management. Here’s what Sean Michael Kerner had to say in his coverage in Network World:

“Gluware is expanding its AI platform with Titan Exposure Management, an agentic capability that maps live network device configurations directly to CVE advisories. Titan is built to slay Mythos — and your CVE backlog with it.

Anthropic’s Claude Mythos Preview, released earlier this year, showed that AI systems could identify and probe network vulnerabilities at a speed that traditional patch management cycles were not designed to match. Security teams that had operated on 30-to-90-day remediation windows began reassessing that assumption.”

That’s the challenge that network automation vendor Gluware is taking on. This week the company announced Titan Exposure Management, a closed-loop agentic capability that determines which devices on a network are actually exposed to a given vulnerability and automates remediation.”

Request a demo and we’ll get you in the know. | https://lnkd.in/gG9vKrve

08/06/2026

Everybody wants a death star network, but most of us are living in Tatooine, or dealing with config drift in the trash compactor ;-).

If you're ready to take your brownfield network and translate it in days and weeks into an intent-driven foundation that can be reliability automated, let's talk.

08/05/2026

Claude Mythos Preview's view of network vulnerabilities is like the Predator's infrared vision. It sees what we have missed, often for years.

That means network teams that haven't achieved automation coverage of their entire networks, so they can remediate without manual intervention, are in a dangerous spot.

If you're in a jungle of legacy network infrastructure that is automation-resistant and blocking your way to fast, AI-enabled remediation, help is here.

Join our April 30th webinar on Mythos: The Network Manager's Action Plan.
Ernest Lefner and Jim Frey will give you an orientation of the threat, and how to get from wherever you're at in your network automation journey, to where you need to be.

https://lnkd.in/gyM6U2Q2

07/03/2026

This 4th of July, we’re reminded that independence isn’t just about fireworks and flags—it’s about the strength we find in community, the courage to grow together, and the freedom to dream bigger. Whether you're gathering with loved ones, watching the night sky light up, or simply enjoying a quiet moment of gratitude—here’s to the spirit that keeps us moving forward, together.

🇺🇸 Happy 4th of July from all of us at Gluware!

06/18/2026

Tomorrow, as we commemorate Juneteenth, we continue our commitment to freedom, equality and justice.

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