Facing a sagging economy, many enterprises are downsizing their operations. This leaves IT leaders with the task of shrinking their departments without sacrificing performance or security.
Hybrid networks aren’t going away, and by implementing an integrated SASE architecture, organizations can extend the convergence of networking and security from the edge to remote users.
Malicious actors are taking advantage of a plethora of new opportunities in the cloud. Here are the top cloud-native risks and strategies for avoiding them.
With more networks being distributed to the edge and installed remotely to support IoT, there is an emerging need for non-IT workers to locally maintain and supervise these networks.
Global political unrest and climate change are bringing new attention to the fragility of the undersea cable networks that carry about 95% of international digital traffic.
Companies should exercise caution when it comes to BYOD policies due to the potential downsides of tax issues for employees, minimal business savings, and increased security risks.
Standardized SD-WAN and SASE have emerged as crucial use cases for edge computing as they allow the provisioning of computing resources and connectivity needed to improve application performance, minimize latency, and enhance the user experience.
Application security is inseparable from network security. As such, enterprises must now take a holistic approach to securing networks and the applications within them.
Until recently, 5G was focused on super high-speed networks. Now an effort has begun to expand it deep into IoT networks. Here's what IT planners need to know.
Block storage arrays are designed to enable applications like Oracle or Microsoft SQL to directly access the storage drive itself without an OS inserting itself and adding a layer of management.
In a post-pandemic landscape where every business is now effectively an online business, slow is the new down. And so, Internet resilience has become a top priority at the board level.
Leveraging open API and machine-learning capabilities allows organizations to build customized cloud security solutions tailored to their unique needs.