Generative AI and Accelerated Computing for Spear Phishing Detection

This post discusses the use of generative AI and accelerated computing to improve spear phishing detection. Spear phishing is a major cybersecurity threat, costing millions of dollars in losses each year. Traditional methods of classification struggle to differentiate between benign and malicious emails. The proposed approach involves using generative AI to create diverse corpora of emails with various spear phishing intents. NVIDIA Morpheus and NeMo frameworks are utilized for data processing and inference, boosting the signals of intent in the detection process. The model can be quickly adapted to new attacks by incorporating generated training data for the specific threat. This approach demonstrates faster and more accurate detection of spear phishing emails using NVIDIA Morpheus.

To learn more about this efficient spear phishing detection method, refer to the NVIDIA AI workflow example.