A naukri.com initiative
Securelist
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Image Credit: Securelist
Streamlining detection engineering in security operation centers
- Security operations centers (SOCs) are critical for detecting and responding to cyberthreats in real time.
- SOC operations can be segmented into assessment, detection, triage, and response phases with distinct roles.
- Challenges observed in SOC operations include issues in log collection, detection, triage, and response.
- Common issues include lack of visibility coverage, over-reliance on vendor rules, and poor use of threat intelligence feeds.
- Enhancing detection is crucial, as it impacts data quality, threat visibility, and incident response efficiency.
- A structured detection engineering program can significantly improve SOC performance and threat resilience.
- Key elements of a detection engineering program include a dedicated team, defined processes, relevant tools, and metrics for measurement.
- Best practices in detection engineering involve rule naming conventions, centralized knowledge bases, contextual tagging, triage steps, baselining, and focusing on behavioral indicators.
- Performance metrics such as Time to Detect (TTD), Signal-to-Noise Ratio (SNR), and Threat Profile Alignment (TPA) are crucial for assessing the success of a detection program.
- Technical-level metrics like Time to Qualify Detection (TTQD), Time to Create Detection (TTCD), and Detection Backlog help measure the team's support of the detection engineering program.
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