The much-anticipated fifth generation (5G) of broadband cellular technology has arrived, ushering in unprecedented network speed and connectivity.
The tech is also spurring innovation into new tech solutions to meet an ever-growing appetite for instant, reliable connectivity, often, faster than most enterprise Cybersecurity teams can handle. If there was ever a time for AI to deliver on the promises made by Cybersecurity platform vendors, it’s now.
AI-Powered Cybersecurity Will Be Indispensable for 5G Networks
The decentralized nature of many modern networks is the key to lower latency and downtime, as well as higher bandwidth. By connecting to closer, distributed servers at the “edge,” organizations benefit, but do those benefits come at the cost of weakening existing security postures? Some industry watchers say yes.
In the Forbes article, “Why 5G Needs AI to Survive,” Bruce Kelley, CTO and SVP of NetScout, explains that within decentralized networks, the attack “surface” is larger and applications hosted at the edge are inherently more difficult to protect. “Having AI to automatically detect potential interference is of utmost importance given the incredibly sensitive applications 5G will be trusted with,” Kelley writes.
The Compounding Issue of Data Overload
Legacy Cybersecurity platforms typically rely on retroactive analysis of data that has been extracted, normalized, and labeled. Organizations are forced to maintain huge stores of data on-premise, in the cloud, or through a third party — in any case, accessing that data is often a slow, laborious, often inaccurate process.
Worse, large enterprises, especially, tend to store more data than is actually needed, spending millions of dollars on storage. All data and every alert is saved, bogging down networks and creating more work for SecOps teams, who spend hours researching an ever-mounting pile of false positive alerts.
The MixMode Solution
MixMode’s third-wave, self-supervised AI solution, combined with the speed and reliance of 5G, helps organizations overcome many of the issues plaguing legacy Cybersecurity approaches, including data overload. MixMode can:
● Reduce storage costs
● Improve searchability
● Eliminate the need to extract and normalize data
● Filter data precisely, reducing the amount of data that needs to be stored
In contrast to legacy security solutions, MixMode requires no training data. Organizations using the platform don’t need to continually add data storage because MixMode works within a given network’s current, real-time state. The platform establishes a baseline of expected network behavior, adapts to changes, and surfaces anomalies free from time- and resource-intense rules-based approaches.
MixMode is an ideal platform for organizations investing in 5G upgrades — it’s a modern solution for modern Cybersecurity issues within modern network architectures, including those connected to edge server networks.