Graph-based anomaly detection transforms how network operators uncover threats and service issues by providing a deeper, relationship-driven understanding of all network activity traversing the eco-system. Unlike traditional methods that analyze isolated data points or rely on predefined rules, a graph-based approach leverages AI, ML, and graph theory to map and analyze the intricate relationships between…
First seen on securityboulevard.com
Jump to article: securityboulevard.com/2025/05/tech-talk-ai-engine-a-look-at-transformative-ai-for-deep-insight-into-anomalous-traffic/
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