QuestionQ95

VerifiedLog Management

You work on a team of Cyber Security Operation Center analysts for the Global Startup PayOnline, which handles and provides back-end gateways for various payment-based applications and digital wallets. Your team is responsible for monitoring security logs across multiple systems, including firewalls, authentication servers, and endpoint detection tools.

The team currently depends on manual log reviews to detect security threats, but the large volume of raw, unstructured logs makes this process inefficient, time-consuming, and susceptible to human error. During a recent security incident, you and your team had difficulty quickly extracting relevant details from disorganized log data, resulting in delayed threat detection and response.

Your team has decided to improve efficiency by implementing an automated log-parsing solution that can convert unstructured logs into a structured format. Which log-parsing technique will you implement in this scenario to improve log-data structuring and enable efficient querying and analysis?

Explanation

Grok filters match unstructured log messages against predefined or custom regular-expression patterns and extract named fields into a structured form. This supports efficient searching and analysis across logs whose layouts can vary by source system.

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