Graph Neural Network Based Adaptive Threat Detection for Cloud Identity and Access Management Logs
Published:Dec 11, 2025 04:44
•1 min read
•ArXiv
Analysis
This article likely presents a novel approach to threat detection in cloud environments. Using Graph Neural Networks (GNNs) suggests an attempt to model relationships within identity and access management (IAM) logs, potentially improving the accuracy and adaptability of threat detection compared to traditional methods. The focus on 'adaptive' implies the system is designed to learn and evolve with changing threat landscapes.
Key Takeaways
Reference
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