Automatic Training Pipelines

Mon, 01 Jan 0001 00:00:00 +0000

Infrastructures drift: new items get added, workloads change, seasonal patterns shift. A model trained a month ago learned a baseline that may no longer match your current environment and will slowly accumulate false positives as legitimate new behavior diverges from what it remembers. To keep detections accurate, enable Automatic retraining on the model configuration (see the Models page).

What triggers a retrain

Automatic retraining is driven by the linked dataset configuration, not by a fixed time schedule. Whenever that dataset configuration produces a new dataset, every model configuration linked to it with automatic retraining enabled starts a fresh training run against the new data.

Tuning Guide

Mon, 01 Jan 0001 00:00:00 +0000

This page covers the technical background behind Prisma AI models and the advanced settings you can adjust if the defaults don’t suit your environment. Please note that our presets have been optimized across a vast assortment of diverse datasets, it is unlikely that changes to our presets will produce generally more capable models, but it is possible that you might be able to tune the model more to your specific use case. When tuning the options, be carefull not to overfit to your specific usecase. For the user-facing configuration flow, see the Models page.

Advanced on IntelliTrend Prisma Documentation

Automatic Training Pipelines

What triggers a retrain

Tuning Guide