While AI is not new, generative AI (GenAI) tools emerged like a whirlwind with the introduction of numerous global products. Competition spurred innov

How network engineers can prepare for the future with AI

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2024-07-09 09:30:03

While AI is not new, generative AI (GenAI) tools emerged like a whirlwind with the introduction of numerous global products. Competition spurred innovation and unlocked the potential to create products using APIs. AI's versatility makes it useful in many fields, but not everyone embraces it. For some, AI threatens to replace parts of the workforce or make them obsolete if they don't adapt to this new technology.

Network engineers are adaptable. From the CLI to APIs and now to AI, engineers know how and when to adopt technologies to keep their networks up to date. To prepare networks for the future with AI, network engineers must understand AI's potential and meet some prerequisites. These steps prepare the engineers and enable networks to handle massive AI workloads.

Security operations center (SOC) teams sometimes rely on manual processes and analysis for threat hunting. Integrating AI and automation into these processes limits time-consuming tasks and simplifies operations. Teams can then focus on critical tasks that might evade AI tools. GenAI can further provide suggestions to the team before they make decisions. Integrating AI into threat detection can be a good experience for teams hesitant to work with AI as a tool.

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