"In organizations with mature processes, this demonstrably leads to a 30 to 50 percent reduction in mean time to respond. This is not an optimization, but a necessary adjustment. The question is no longer whether AI agents will be deployed, but how far their autonomy extends. Security teams must explicitly determine which decisions can be automated and where human oversight remains mandatory. If these frameworks are lacking, the risks only increase."
"The shortage of experienced security specialists is structural, while organizations are increasingly under pressure and facing cyberattacks. Therefore, a faster and demonstrable response is essential. While Security Operations Centers were designed for years around human analysis, we are seeing autonomous AI agents increasingly taking over operational tasks. Think of triage, enrichment of reports, and initiating initial responses and measures. In organizations with mature processes, this demonstrably leads to a 30 to 50 percent reduction in mean time to respond."
Organizations possess more security technology yet continue to face accumulating incidents, driven by a structural shortage of experienced security specialists and rising attack pressure. Autonomous AI agents are increasingly taking operational tasks such as triage, report enrichment, and initiating initial responses, producing 30–50 percent reductions in mean time to respond in mature processes. Security teams must define which decisions can be automated and where human oversight is mandatory to avoid increased risks from assumptions, context gaps, and training-data limitations. Unclear role divisions and lack of governance amplify errors. Critical infrastructure exposure raises direct business continuity and societal impact risks.
Read at Techzine Global
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