From alert fatigue to autopilot fatigue: How agentic AI shifts cyber risk
For a long time, security teams have been dealing with the same problem: a constant stream of security alerts, but not enough context.
Missing details like user behavior, asset importance, or related activity, means there’s a heavy reliance on analysts to work out what actually matters.
This doesn’t just slow teams down; it puts real pressure on teams and limits how much they can realistically review or understand.
Agentic AI changes this dynamic.
Instead of looking at alerts in isolation, these systems can piece activity together, understand what’s happening in context, and in some cases take action on their own.
Often, issues are resolved before they ever need to be escalated. That removes a lot of the manual effort that’s shaped security operations for years.
But while a clear improvement, it doesn’t remove risk—it shifts it.
As systems improve, scrutiny declines
A useful comparison is aviation. As systems become more...
Copyright of this story solely belongs to techradar.com. To see the full text click HERE
