AI in Cybersecurity Criticized as Mostly Ineffective

The author criticizes current discourse from cybersecurity providers and leaders, who emphasize goals such as "shift left," reducing false positives, improving MTTR (Mean Time to Resolution), or cost savings, without offering new strategies to counter attackers. The author highlights the lack of concrete proposals to anticipate threats, integrate threat hunting in a structured manner, or slow down the attackers' iteration cycle. According to the author, solutions are limited to optimizing existing tools ("polishing the same turd") rather than innovating. AI is presented as a potential opportunity, but its use is focused on measurable gains (e.g., reducing noise) rather than strategic breakthroughs.