What process involves reviewing computer-generated event logs to proactively identify bugs, security threats, or other risks?

What process involves reviewing computer-generated event logs to proactively identify bugs, security threats, or other risks?

• A. Log analysis
• B. Risk assessment
• C. Penetration testing
• D. Vulnerability scanning

Answer: (A)

Reviewing computer-generated event logs to proactively identify bugs, security threats, or other risks is all about analyzing logs to detect anomalies and patterns that signal issues before they become incidents. Log analysis involves gathering, normalizing, and inspecting logs from servers, applications, and devices to spot tells—such as repeated failed logins, strange login times, unusual data transfers, or unexpected privilege use—that point to bugs or security concerns. This continuous monitoring helps security teams detect and respond quickly, often using tools that correlate events across multiple sources to reveal broader threats. In contrast, risk assessment, penetration testing, and vulnerability scanning focus on identifying weaknesses through evaluation or testing rather than ongoing observation of event data, so they don’t fit the described process as closely.

Reviewing computer-generated event logs to proactively identify bugs, security threats, or other risks is all about analyzing logs to detect anomalies and patterns that signal issues before they become incidents. Log analysis involves gathering, normalizing, and inspecting logs from servers, applications, and devices to spot tells—such as repeated failed logins, strange login times, unusual data transfers, or unexpected privilege use—that point to bugs or security concerns. This continuous monitoring helps security teams detect and respond quickly, often using tools that correlate events across multiple sources to reveal broader threats. In contrast, risk assessment, penetration testing, and vulnerability scanning focus on identifying weaknesses through evaluation or testing rather than ongoing observation of event data, so they don’t fit the described process as closely.