<ul><li>Multimodal transformers combine multiple data sources simultaneously, using cross-attention layers to relate one modality to another.</li><li>In the example of detecting a fileless malware attack in an enterprise environment, multimodal transformers integrate indicators and reasoning data streams.</li><li>Multimodal transformers excel in detecting such attacks by analyzing diverse data sources and identifying relationships that would be missed by classical models.</li><li>This article highlights the educational and defensive potential of multimodal transformers in detecting and preventing advanced threats, while emphasizing the importance of ethical use in cybersecurity.</li></ul>

Multimodal Transformers vs. Classical Transformers : a cybersec example

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