An analyst is reviewing records from a customer portal. Many entries show repeated attempts with unusual parameters that appear malicious, but the software does not produce warnings for them. Which approach ensures these anomalies are identified and escalated for further response?
Capture all debug metrics from every event distributed across the environment
Upgrade the parser to detect multiple suspicious commands that deviate from normal usage
Turn off data forwarding for non-essential systems
Ignore identical requests from the same network location to reduce the size of the dataset
Refining the parser to detect repeated suspicious commands uncovers attempts that deviate from typical activity. Ignoring identical requests removes important evidence. Tracking debug events for everything adds large volumes of data, obscuring genuine threats. Disabling log forwarding discards significant information that could reveal attacks.
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What is a parser and how does it help detect anomalies?
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Why is ignoring identical requests from the same network location a bad idea?
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How does tracking all debug metrics obscure genuine threats?