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A security team uses machine learning to detect APTs by combining system behavior and network traffic data. Which approach best improves detection accuracy?

hard🚀 Application Q9 of 15
Cybersecurity - Advanced Threat Protection
A security team uses machine learning to detect APTs by combining system behavior and network traffic data. Which approach best improves detection accuracy?
AIntegrate anomaly detection on user behavior with signature-based network alerts
BOnly use signature-based detection on known malware hashes
CIgnore user behavior and focus on firewall logs alone
DRely solely on manual log review without automation
Step-by-Step Solution
Solution:
  1. Step 1: Understand combined detection methods

    Combining anomaly detection on user actions with signature alerts covers unknown and known threats.
  2. Step 2: Evaluate other options

    Using only signatures or ignoring user behavior reduces detection scope; manual review alone is inefficient.
  3. Final Answer:

    Integrate anomaly detection on user behavior with signature-based network alerts -> Option A
  4. Quick Check:

    Best detection = Combine anomaly + signature methods [OK]
Quick Trick: Combine behavior anomalies with signature alerts for best results [OK]
Common Mistakes:
MISTAKES
  • Relying only on known malware signatures
  • Ignoring user behavior data
  • Depending solely on manual log review

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