Datasets
To train accurate AI models that detect anomalies in your Zabbix environment, the system needs clean, organized data. You manage this data through Datasets.
AI
Prisma AI is a feature to train AI models on Zabbix data. These models can be used for tasks such as detection of anomalies.
The Prisma AI workflow consists of three main parts:
- a dataset
- a model
- a deployment
These three parts are explained in the AI chapter of the user manual.
Models
Once you have a high-quality dataset, you can use it to train an AI Model. These models learn the unique patterns of your Zabbix data to accurately identify anomalies.
Deployments
Put your AI model to work. A Deployment connects your trained model to live Zabbix data to detect and report anomalies as they happen.
Advanced
Advanced topics related to prisma ai anomaly detection