1. AI applications that genuinely improve operations in the SOC and NOC
AI isn’t going anywhere. New use cases appear like presents under a Christmas tree, especially in the SOC (security operations center) and NOC (network operations center). According to Splunk’s State of Security 2024 report, 46% of respondents declare that generative AI will be “game-changing” for their security teams. Because of this optimism, cybersecurity professionals are increasingly incorporating AI into their workflows, with threat intelligence analysis and risk identification as the top two use cases.
On the ITOps and engineering side, practitioners have fully embraced AI and ML as part of their toolset. According to Splunk’s State of Observability 2024 report, respondents use AI/ML-powered systems to enhance observability operations, such as correlating events, prioritizing alerts, and recommending solutions. But that’s not all—where ITOps teams and engineers can really benefit from AI solutions is in alert remediation. Alert volume is a common challenge for any NOC, and AI can help with advanced correlation capabilities.
Next year, technology leaders will look for more ways AI can streamline security and observability operations. But any new tools or use cases they introduce will need to prove their value quickly or risk looking like they’re riding the “AI Polar Express” (a.k.a the hype train), which brings us to our next wishlist item.