AI-Driven Guided Response for Security Operation Centers with Microsoft Copilot for Security
July 12, 2024 ยท Declared Dead ยท ๐ The Web Conference
"No code URL or promise found in abstract"
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Authors
Scott Freitas, Jovan Kalajdjieski, Amir Gharib, Robert McCann
arXiv ID
2407.09017
Category
cs.LG: Machine Learning
Cross-listed
cs.CR,
cs.IR
Citations
16
Venue
The Web Conference
Last Checked
4 months ago
Abstract
Security operation centers contend with a constant stream of security incidents, ranging from straightforward to highly complex. To address this, we developed Microsoft Copilot for Security Guided Response (CGR), an industry-scale ML architecture that guides security analysts across three key tasks -- (1) investigation, providing essential historical context by identifying similar incidents; (2) triaging to ascertain the nature of the incident -- whether it is a true positive, false positive, or benign positive; and (3) remediation, recommending tailored containment actions. CGR is integrated into the Microsoft Defender XDR product and deployed worldwide, generating millions of recommendations across thousands of customers. Our extensive evaluation, incorporating internal evaluation, collaboration with security experts, and customer feedback, demonstrates that CGR delivers high-quality recommendations across all three tasks. We provide a comprehensive overview of the CGR architecture, setting a precedent as the first cybersecurity company to openly discuss these capabilities in such depth. Additionally, we release GUIDE, the largest public collection of real-world security incidents, spanning 13M evidences across 1M incidents annotated with ground-truth triage labels by customer security analysts. This dataset represents the first large-scale cybersecurity resource of its kind, supporting the development and evaluation of guided response systems and beyond.
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