Shooting the moving target: machine learning in cybersecurity

Authors: 

Ankit Arun and Ignacio Arnaldo, PatternEx

Abstract: 

We introduce a platform used to productionize machine learning models for detecting cyberthreats. To keep up with a diverse and ever-evolving threat landscape, it is of paramount importance to seamlessly iterate over the two pillars of machine learning: data and models. To satisfy this requirement, the introduced platform is modular, extensible, and automates the continuous improvement of the detection models. The platform counts more than 1000 successful model deployments at over 30 production environments.

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BibTeX
@inproceedings {232991,
author = {Ankit Arun and Ignacio Arnaldo},
title = {Shooting the moving target: machine learning in cybersecurity},
booktitle = {2019 {USENIX} Conference on Operational Machine Learning (OpML 19)},
year = {2019},
isbn = {978-1-939133-00-7},
address = {Santa Clara, CA},
pages = {13--14},
url = {https://www.usenix.org/conference/opml19/presentation/arun},
publisher = {{USENIX} Association},
}