7.2. Log Analysis and Correlation

In the Spectra360 Security Operations Center (SOC) platform, log analysis and correlation are critical processes that involve examining collected log data to identify patterns, detect anomalies, and uncover potential security threats. By correlating events from diverse sources, the platform can provide a comprehensive view of the organization's security posture, enabling proactive threat detection and response.

Objectives:

Key Steps in Log Analysis and Correlation:

  1. Data Parsing and Normalization:

    • Standardize log entries from various sources into a consistent format to facilitate effective analysis.
  2. Pattern Recognition:

    • Utilize automated tools to identify known patterns associated with security threats, such as repeated failed login attempts or unauthorized access.
  3. Anomaly Detection:

    • Employ statistical methods and machine learning algorithms to detect deviations from established baselines, indicating potential security issues.
  4. Event Correlation:

    • Link related events across different systems and timeframes to uncover complex attack vectors and provide context for security incidents.
  5. Alert Generation:

    • Generate alerts for security analysts when correlated events indicate a potential threat, enabling timely investigation and response.

Benefits:

Best Practices:


Revision #2
Created 9 February 2025 21:04:51 by Admin
Updated 10 February 2025 10:51:21 by Admin