RESEARCH / 3 MIN READ
The hidden cost of behavior drift
Why normal has to be learned continuously across endpoint fleets.
01
Static baselines decay quietly
A baseline built from a single point in time starts aging as soon as software, policy and operator behavior change. The result is a growing gap between what the system considers unusual and what the environment now considers normal.
02
Drift becomes expensive before it becomes obvious
Analysts spend time re-triaging recurring deviations, suppressing noisy detections and rebuilding context that should have been preserved. That cost appears as investigation drag long before anyone labels it as a data-quality problem.
03
Continuous context changes the question
Instead of asking whether one event differs from an old baseline, continuously learned context asks whether behavior is changing in a way that creates a reachable security path. That shift reduces noise without hiding meaningful change.
A useful baseline is not a snapshot. It is a living description of how the environment changes.
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