by Tom Pagan, World Wide Technology, Michael Haugh, Gluware, Stephen Collins, ONUG
This is the second in a series of blog posts by the ONUG Collaborative AI-Driven NOC/SOC Automation project team, which is delving into Generative AI (GenAI use) cases for streamlining and automating NOC/SOC workflows. Here we describe several different approaches for adopting GenAI-enabled applications and tools and conclude by considering the benefits and challenges of each approach.
AI is playing an increasingly important role in network and security operations. The use of machine learning to analyze and derive actionable intelligence from large volumes of operational data has become commonplace, spanning use cases including baselining, anomaly detection, and event correlation, often linked with automated incident response. However, as described in our previous blog post, GenAI technology is poised to dramatically impact NOC/SOC applications and tools.
