The thing Val Mairet always loved about working in cybersecurity was the clarity of purpose. “You know what you’re working for: You have to make sure the company doesn’t explode,” she says. Over the course of almost a decade, Mairet worked as an ethical hacker hunting for security flaws for a Dutch telecommunications giant, a security researcher for McAfee LLC and, eventually, a staff security engineer for the developer platform GitLab Inc. The work could be stressful, but it was manageable — and, more important, it was meaningful. Then last year, Mairet says, the “AI madness” kicked in. As artificial intelligence tools proliferated, her workload exploded, driven by an uptick in alerts to potential threats and a slew of internal vulnerabilities being churned out by AI-generated code. At the same time, her team was facing pressure to use AI to boost their own productivity — which only seemed to slow them down. “I was losing sight of what we were supposed to do,” Mairet says.

Full report : AI Burnout Hits the People Charged With Defending Hospitals and Banks From Hackers.