pdf

HP - Vision Cyber Security Analytics.pdf
Hp Vision Cyber Security Analytics

Resource covering Analytics titled 'Hp Vision Cyber Security Analytics'.

This page contains AI generated content. Errors or omissions may be present. Use human level critical thinking.
  • Q: What is the 'River Delta' analogy used in this paper?
    A: Comparing the flow of data in an enterprise to a river; the SOC needs to filter the 'sediment' (noise) to find the 'gold' (threats).
  • Q: What is the primary limitation of 'Signature-based' detection?
    A: It can only detect known threats; it fails against zero-day attacks and novel techniques.
  • Q: How does 'Behavioral Analytics' differ from signature detection?
    A: It establishes a baseline of normal activity and flags deviations (anomalies) as potential threats.
  • Q: What is the role of 'Big Data' in security analytics?
    A: It allows for the storage and processing of massive volumes of historical data for long-term trend analysis and hunting.
  • Q: What is 'User and Entity Behavior Analytics' (UEBA)?
    A: Focusing analytics on the actions of users and devices (entities) to detect insider threats and compromised accounts.
  • Q: What is the 'DNS Analytics' use case?
    A: Detecting command and control (C2) traffic and data exfiltration by analyzing DNS query patterns (e.g., DGA domains).
  • Q: What is 'Peer Group Analysis'?
    A: Comparing a user's behavior to that of their peers (e.g., 'other accountants') to identify anomalies.
  • Q: Why is 'Context' critical for analytics?
    A: Without context (asset value, user role), an anomaly is just a statistical outlier; context turns it into a prioritized alert.
  • Q: What is the 'Feedback Loop' in analytics?
    A: Analysts validating alerts to train the machine learning models, improving accuracy over time.
  • Q: What is the vision for the 'Future SOC'?
    A: A highly automated, intelligence-driven center where analytics handle the bulk of detection and analysts focus on complex investigations.

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