Data Analysis
Data analysis in security involves collecting and examining quantitative data to gain insights. This can include data from vulnerability scans, intrusion detection systems, security logs, penetration test results, or performance measurements of security controls.
By systematically analyzing this data, security specialists can make informed decisions rather than relying on gut feelings. Data analysis provides insights into patterns or threats that are not visible to the naked eye. In a broader sense, data analysis enables you to quantitatively validate security measures: measuring effectiveness. It thus contributes to an 'evidence-based' improvement cycle for security posture.
Starting Points
Key Points
- You think in advance about which data you want to collect and how to collect it efficiently and securely.
- You demonstrate understanding of data quality. You check the dataset for completeness, reliability, and biases, and justify the analysis method used.
- You present concrete findings from the data with visualizations (graphs, tables) and draw conclusions that link to design or improvement actions.