Network Solutions, Inc.

08/31/2026

The time between vulnerability disclosure and exploitation keeps getting shorter. The time enterprises need to safely test and deploy patches hasn't changed nearly as much.

Microsoft is warning that attackers can now exploit critical vulnerabilities within hours, creating a dangerous gap between knowing you're vulnerable and actually being able to patch.

Their recommendation puts greater emphasis on the network during that window: segmentation, traffic controls, WAF/IPS policies, and temporary isolation can help contain exposure while remediation is underway. Patching remains essential, but organizations increasingly need a way to reduce risk before the patch can safely reach production.

An important shift in how we think about vulnerability management.
https://hubs.ly/Q04v_2p90

Azure networking executive Igor Sakhnov says enterprises must reduce exposure before patches are deployed as attackers outpace remediation.

08/31/2026

AI infrastructure is starting to push data center design into territory where traditional cooling simply can't keep up.

Cisco is expanding its Secure AI Factory with NVIDIA architecture to include Supermicro's high-density liquid- and air-cooled systems. The reason is practical: modern AI systems such as NVIDIA's NVL72 can exceed 200 kW per rack, making liquid cooling a system-level requirement.

What's interesting is the rack-to-fabric approach—pairing liquid-cooled compute with liquid-cooled Cisco networking while integrating security, observability, and management into the broader architecture.

AI infrastructure isn't simply adding more GPUs. It's changing how the entire data center needs to be designed.
https://hubs.ly/Q04v-jkc0

Cisco is partnering with Supermicro to bring the server vendor’s liquid- and air-cooled systems into Cisco's AI infrastructure portfolio. Specifically, Cisco will begin offering high-density Supermicro compute solutions as part of its Secure AI Factory with Nvidia architecture.

08/30/2026

AI can generate a tremendous amount of work. That doesn't necessarily mean it's generating the same amount of value.

CIO examines reports that Meta reconsidered plans to significantly reduce staffing on some teams after internal results showed a striking disconnect: code changes were up 220% year over year, while changes resulting in new or improved features reaching users were up only 36%.

That's an interesting measurement problem for every organization adopting AI. Are we measuring AI activity, or are we measuring better business outcomes?

Read the CIO article https://hubs.ly/Q04vLnwq0

The Reuters report is a cautionary tale in which Meta discovered that AI promises rarely become AI reality.

08/30/2026

AI costs can be surprisingly difficult to pin down.

Subscriptions and token consumption are only part of the equation. Cloud infrastructure, orchestration, governance, model selection, employee usage and even the time spent reviewing AI output can materially change the economics of an AI initiative. CIO reports that one organization found the actual AI service bill represented only about 30% of its total cost.

For IT and business leaders, understanding AI ROI starts with understanding what you're actually spending.

Read the article https://hubs.ly/Q04vLhYV0

08/29/2026

Some of the vulnerabilities attackers exploit most successfully aren't new or particularly sophisticated. In fact, CISA says many should have been eliminated decades ago.

Looking at 2024 and 2025 data, CISA found familiar weaknesses like improper input validation, path traversal and command injection continue to show up prominently among known exploited vulnerabilities. Seven of the 10 most frequent weakness types in 2025 were considered preventable problems as far back as 2007.

That's a useful reminder that cybersecurity progress still depends heavily on getting the fundamentals right — and on vendors building security into software from the beginning.
https://hubs.ly/Q04vLmCh0

08/28/2026

A successful backup is reassuring. But it doesn't answer the question that matters during an outage or ransomware attack: Can you actually recover?

Recovery depends on much more than copying data. Application dependencies, restore order, RTO and RPO, immutable backups, clean recovery points, and regular testing all determine how quickly the business can get back to work.

Our latest article looks at how organizations can measure recovery readiness before an incident puts the plan to the test.
https://hubs.ly/Q04vLfDd0

08/28/2026

AI is getting very good at finding vulnerabilities. The uncomfortable question is whether organizations can fix them just as quickly.

Vulnerability disclosures are already growing rapidly, while the systems used to enrich, prioritize, and remediate them are struggling with the volume. AI could widen that gap even further.

The challenge for security teams is shifting from simply finding vulnerabilities to determining which ones actually affect the business, which pose the greatest risk, and how quickly they can be remediated.

More vulnerabilities discovered isn't necessarily more security if remediation can't keep pace.
https://hubs.ly/Q04vJ0cW0

08/27/2026

BIG NEWS! We're officially 5 for 5 with Cisco!

We're proud to announce that we've achieved Cisco Preferred Collaboration Partner status — and with it, we've now earned Preferred Partner designation across ALL FIVE Cisco architectures:

Cisco Preferred Cloud and AI Infrastructure Partner
Cisco Preferred Networking Partner
Cisco Preferred Security Partner
Cisco Preferred Services Partner
Cisco Preferred Collaboration Partner 🆕

This milestone reflects deep technical expertise across our entire team — and a whole lot of hard work, certifications, and dedication to doing right by our customers.

For our customers, this is further proof that NSI is the one trusted partner that can support your entire Cisco environment—cloud and AI-enabled infrastructure, networking, security, services, and collaboration—all under one roof and backed by Cisco’s highest level of partner recognition.

Huge congratulations and thank you to our incredible team for making this happen. This achievement belongs to all of you.

Network Solutions, Inc. custom-designs all solutions according to your company’s unique IT needs. Schedule a consultation with us to discuss your IT options.

08/27/2026

Kubernetes was built long before AI workloads became a major consideration. Version 1.37 shows how much that is changing.

The latest release adds workload-aware scheduling designed for demanding AI and machine-learning jobs, including better coordination of GPU resources, scale-to-zero capabilities, and continued networking improvements with the move toward nftables.

For organizations building AI infrastructure, Kubernetes is adapting to the workloads now being asked of it.
https://hubs.ly/Q04vwlqc0

In the Kubernetes 1.37 release, codenamed Garhwal, new scheduling capabilities were built for AI and machine-learning training jobs that need groups of pods to start and scale together.

08/26/2026

We’re excited to welcome Mark Kamerer to Network Solutions as our new Director of Engineering and Customer Experience!

Mark brings more than 25 years of technology industry experience, with deep expertise in enterprise architecture, engineering, solution design, and customer-focused technology strategy. His experience spans artificial intelligence, cloud, cybersecurity, virtualization, networking, data center infrastructure, and collaboration.

In this role, Mark will provide leadership across Engineering, Customer Experience, and Project Management while collaborating closely with Sales and teams throughout NSI.

Mark’s technical knowledge, leadership, and focus on positive customer outcomes will help us strengthen our engineering capabilities, improve our processes, and deliver an even better experience for our customers.

Please join us in welcoming Mark to the NSI team!