Spear phishing is one of the largest and most costly cyber threats to organizations. Customized for individuals and usually very convincing, spear phishing emails are difficult to defend against due to a lack of training data. Using NVIDIA Morpheus and a natural language processing (NLP) model trained with synthetic emails generated by NVIDIA NeMo™, spear phishing emails can be identified much faster.
The spear phishing AI workflow reduces the time to develop a phishing detection solution. This workflow leverages NVIDIA Morpheus, as well as a series of pretrained models using generative AI.
This workflow contains:
NLP pretrained models to analyze and classify emails to identify spear phishing attempts.
A reference for solution deployment in production, including components like workflow logging and monitoring.
An inference pipeline for spear phishing detection.
A cloud-native deployable bundle packaged as a single Helm chart.
The spear phishing AI workflow provides a reference for getting started in building this solution and includes cloud-native Kubernetes services packaged together into a deployable solution.