Over the past decade, the number of technology platforms inside the typical enterprise has grown dramatically. Security tools, monitoring platforms, collaboration applications, identity systems, cloud platforms, and SaaS services all promise to solve specific challenges. Individually, many of these solutions are valuable. Collectively, they can introduce a new kind of complexity. For many IT teams,
For many organizations, the VPN has quietly become one of the most fragile parts of the IT environment. It was originally designed for a world where employees worked in offices and applications lived inside the corporate network. Today, work happens everywhere and applications live across cloud platforms, SaaS environments, and collaboration tools. In this distributed
Hybrid cloud has become a common strategy for organizations looking to balance flexibility, performance, and control. By combining on premises infrastructure with public cloud platforms, organizations can run workloads in the environments that best support their needs. While hybrid cloud offers significant advantages, it can also introduce more complexity than many organizations expect. Infrastructure Is
For years, cybersecurity strategies focused on protecting the network perimeter. Firewalls, VPNs, and network boundaries were designed to keep threats outside the organization. Today, the concept of a fixed perimeter is disappearing. Employees work from home, applications live in the cloud, and data moves across collaboration platforms and SaaS environments. In this distributed model, verifying
Collaboration platforms have evolved far beyond messaging and meetings. What began as tools for communication are quickly becoming central platforms for how organizations work. As these solutions continue to develop, IT leaders are starting to see new capabilities and architectural considerations emerge. Here are a few shifts shaping the evolution of modern collaboration platforms. Collaboration
Artificial Intelligence tools are rapidly becoming part of everyday work. From drafting emails to analyzing data, employees are finding new ways to use AI to increase productivity. As organizations explore these technologies, one important topic is beginning to emerge: governance. Below are a few areas organizations should be thinking about as AI adoption accelerates.
We are proud to see members of our engineering team sharing their insights with the broader technology community. Greyson engineer Elliot Dierksen recently was featured for a blog on the Cisco Learning Network: “What Are You Trying to Accomplish? Avoid the Ready, Fire, Aim Approach.” In the article, Elliot explores a challenge many technology teams
Data Loss Prevention is no longer optional. It is foundational. In a cloud-first, AI-enabled environment, data moves constantly across applications, collaboration platforms, endpoints, and cloud storage. As organizations adopt generative AI tools and modern SaaS ecosystems, sensitive information travels faster and farther than ever before. Without visibility and control, that movement creates real risk. Modern
There are a tremendous number of details within the Disaster Recovery and Business Continuity Planning (DR/BCP) domains, this article will stay high level, and hopefully, spark some thoughts to allow you to assess your current state.
It seems like everyone is talking about SD-WAN. So why is there hesitation from network engineers?