Why Network Security Convergence Is Shaking Up the Market
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For years, the networking industry has been talking about the need to converge network security and cybersecurity. The premise is simple: All application traffic traverses a network, so you need to secure the network first to secure the applications. Now it looks like it's finally starting to happen—perhaps catalyzed by AI.
Developing trends in the architecture of distributed applications such as the use of hybrid cloud, cloud networking, Kubernetes, and AI are about to accelerate these trends. AI has the potential to increase data traffic by orders of magnitude, and massive networks are being built to secure this traffic—not just inside of datacenters, individual clouds, or AI LLMs—but everywhere! All of this data will be pulsing through networks. It needs to be secured end-to-end, not only at the application level, but at the network layer as well. This theme has emerged from many of the companies in this year's Futuriom 50.
In addition to providing a huge traffic boost, AI can also be used to help manage the traffic. We are on the cusp of an avalanche of new data that will feed AI models left and right, whether that’s AI at the edge in an SLM or in the largest hyperscalers in the world. That data can also be used to secure and automate the network.
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