Examples

• Anomalous Behavior Profiling with Forest Inference Library (FIL) Example
• ABP Detection Example Using Morpheus
• Digital Fingerprinting (DFP)
• GNN Fraud Detection Pipeline
• Example cyBERT Morpheus Pipeline for Apache Log Parsing
• Sensitive Information Detection with Natural Language Processing (NLP) Example
• Example Ransomware Detection Morpheus Pipeline for AppShield Data
• Root Cause Analysis Acceleration & Predictive Maintenance Example
• SID Visualization Example
• Large Language Models (LLMs)
  • Agents
  • Completion
  • VDB Upload
  • Retrieval Augmented Generation (RAG)

Environments

Morpheus supports multiple environments, each environment is intended to support a given use-case. Each example documents which environments it is able to run in. With the exception of the Morpheus Release Container, the examples require fetching the model and example datasets via the fetch_data.sh script:

./scripts/fetch_data.py fetch examples models

The following are the supported environments:

Environment	Description
Conda	Morpheus is built from source by the end user, and dependencies are installed via the Conda package manager.
Morpheus Docker Container	A Docker container that is built from source by the end user, Morpheus is then built from source from within the container.
Morpheus Release Container	Pre-built Docker container that is built from source by the Morpheus team, and is available for download from the NGC container registry, or can be built locally from source.
Dev Container	A Dev Container that is built from source by the end user, Morpheus is then built from source from within the container.