How security teams are using Juno to bring visibility back

AI is making software engineers dumber.

In a 2026 study, Anthropic found that developers using AI assistance scored 17 percentage points lower when tested on code they had just written. In another study, researchers found that programmers using generative AI completed more tasks but showed no improvement in their understanding of the codebase. And in a randomized trial by METR, experienced open-source developers believed AI made them 24% faster. When measured, they were actually 19% slower.

The common thread across these studies is that developers stopped building a mental model of the systems they were working on. The AI handled the reasoning and they accepted the output, without building a picture of how things actually fit together. Researchers are calling this epistemic debt: you’re productive today, but you’re borrowing against understanding you’ll need tomorrow.

A similar dynamic is playing out in security.

Security teams are adopting AI faster than almost any other function, and for good reason. Alert volumes are unmanageable, experienced analysts are hard to find, and every major vendor now offers some form of AI-powered assistant.

But the underlying pattern is the same. The AI processes an alert, produces a disposition, and the analyst accepts it without ever investigating what actually happened. Over time, the team loses its understanding of the environment it’s supposed to be protecting.

AI’s Visibility Problem

The main culprit here is hidden reasoning. You see the output, never the process. And you can’t learn (Read more...)