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Michael Brautbar

2 papers indexed

arxivcs.LG2026-06-27

Towards Improved Anomaly Detection for Cloud Cybersecurity via Graph Neural Networks

Manu Nandan, TJ Jaymes, Michael Brautbar, Edward Raff

Detecting security threats in an organization's cloud computing environment has become necessary due to the increased reliance on cloud infrastructure. Logging of all cloud computing events enables investigation into any incidents after they are detected. Automated detection of t…

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arxivcs.LG2026-06-27

ML-Powered LDAP Reconnaissance Detection using Weak Supervision

Shaefer Drew, Edward Raff, Michael Brautbar, Yaron Zinar, Benjamin Malmberg, Dor Agron, et al.

Lightweight Directory Access Protocol (LDAP) is a protocol that allows users to query and modify Active Directory (AD) data. By default, all users have read access to all AD data through LDAP, making it a common initial tool for reconnaissance when a threat actor first compromise…

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