Anomaly Detection
How do you see traditional anomaly detection approaches adapting as attackers increasingly randomize or blend their behavioral fingerprints to resemble normal social media activity? Could integrating contextual or graph-based techniques improve anomaly detection resilience against such adaptive evasion tactics?
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