The distinction between prediction and preparation cuts deep when thinking about threat detection. AI shifts the bottleneck from noticing threats to decidng what to do once detected, which actually raises harder questions about authority and response protocols. I've seen situations where better detection just meant faster paralysis because nobody prepped for compressed timelines. The freelancer disinfo example shows the same gap between spotting patterns and actually distrupting operations.
I absolutely agree. As I worked through this summary of the article (which was first drafted about a month ago), I kept coming back to the concept that organizational actions were becoming increasingly concentrated on decision-making and response protocols. I don't see those as challenges that can't be overcome, but I think that stating those assumptions can help inform and change the response plans to meet the demands (and the opportunity) that AI resources are creating. Thanks for the comment.
The distinction between prediction and preparation cuts deep when thinking about threat detection. AI shifts the bottleneck from noticing threats to decidng what to do once detected, which actually raises harder questions about authority and response protocols. I've seen situations where better detection just meant faster paralysis because nobody prepped for compressed timelines. The freelancer disinfo example shows the same gap between spotting patterns and actually distrupting operations.
I absolutely agree. As I worked through this summary of the article (which was first drafted about a month ago), I kept coming back to the concept that organizational actions were becoming increasingly concentrated on decision-making and response protocols. I don't see those as challenges that can't be overcome, but I think that stating those assumptions can help inform and change the response plans to meet the demands (and the opportunity) that AI resources are creating. Thanks for the comment.