Security experts have been talking about Kerberoasting for over a decade, yet this attack continues to evade typical defense methods. Why? It’s because existing detections rely on brittle heuristics and static rules, which don’t hold up for detecting potential attack patterns in highly variable Kerberos traffic. They frequently generate false positives or miss “low-and-slow” attacks altogether.
Is there a better and more accurate way for modern organizations to detect subtle anomalies within irregular Kerberos traffic? The BeyondTrust research team…
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