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Tracking Anomalous Behaviors of Legitimate Identities
Defense in Depth
Creating Normal for a User and Accepting Low False Positive Rates
The key insights from the snip are that in anomaly detection, the crucial aspect is finding the normal behavior for a user. It is not necessary to aim for zero false positive rates; instead, creating user profiles with low false positive rates is feasible and acceptable. The key takeaway is the importance of understanding that being always right is not mandatory, and establishing normal behavior for a user is the key to solving the anomaly detection problem.
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highlights
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