XSIAM-Engineer Exam Dumps | A security engineer is tasked with integrating a custom-built internal application's security audit logs

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Question 181/193

A security engineer is tasked with integrating a custom-built internal application's security audit logs into XSIAM. The application generates JSON formatted logs directly to a dedicated S3 bucket in AWS. The logs contain critical information like user actions, access attempts, and configuration changes. The requirement is to ingest these logs efficiently and ensure they are properly parsed for XSIAM's analytics and correlation engines, while minimizing custom development within XSIAM. Which XSIAM integration approach is most suitable?

A. Configure an AWS S3 trigger to invoke an AWS Lambda function that pushes the JSON logs to an XSIAM Broker via syslog, then create a custom parser in XSIAM.

B. Set up an XSIAM Data Collector on an EC2 instance within the AWS VPC, which pulls logs from the S3 bucket using the AWS SDK, then forwards them to XSIAM's Data Lake. XSIAM's auto-parsing for JSON can be leveraged, or a minimal custom parser defined if needed.

C. Use an XSIAM Playbook to periodically query the S3 bucket via the AWS S3 API, then parse the JSON within the playbook and push the data using the XSIAM Event Ingest API.

D. Configure the S3 bucket to directly send notifications to an SNS topic, which then triggers an HTTPS endpoint on an XSIAM Data Broker to ingest the raw JSON.

E. Manually download the JSON logs from S3 daily and upload them to XSIAM's Data Lake via the XSIAM UI for batch processing.

Correct Answer: B

Setting up an XSIAM Data Collector (Broker) within the AWS VPC to pull logs directly from S3 is an efficient and scalable approach. XSIAM Brokers are designed for data collection from various sources, including cloud storage. XSIAM has strong capabilities for parsing JSON, often requiring only minimal configuration or custom parsing. This avoids the complexity of Lambda functions for simple ingestion and provides a robust, resilient ingestion pipeline. Using playbooks for direct ingestion might be less efficient for high volumes of raw log data compared to a dedicated data collector.

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