To detect previously unseen threats, which detection approach should be used?

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Multiple Choice

To detect previously unseen threats, which detection approach should be used?

Explanation:
Anomaly-based detection is designed to identify threats that don’t match normal behavior. It builds a baseline of what’s typical in the system or network, and anything that deviates from that baseline is flagged as suspicious. This makes it effective for catching previously unseen or zero-day threats, because those attacks often look different from normal activity even if their specific signatures aren’t known yet. Signature-based detection, by contrast, relies on known patterns. It’s very good at catching already-identified threats, but it won’t detect new attacks unless a signature for them exists. Because the question focuses on detecting threats that haven’t been seen before, anomaly-based detection is the best fit. In practice, many defenses use both to maximize coverage, but for unseen threats alone, anomaly detection is the strength.

Anomaly-based detection is designed to identify threats that don’t match normal behavior. It builds a baseline of what’s typical in the system or network, and anything that deviates from that baseline is flagged as suspicious. This makes it effective for catching previously unseen or zero-day threats, because those attacks often look different from normal activity even if their specific signatures aren’t known yet.

Signature-based detection, by contrast, relies on known patterns. It’s very good at catching already-identified threats, but it won’t detect new attacks unless a signature for them exists. Because the question focuses on detecting threats that haven’t been seen before, anomaly-based detection is the best fit. In practice, many defenses use both to maximize coverage, but for unseen threats alone, anomaly detection is the strength.

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