エネルギー企業におけるインシデント発生後の調査において、アナリストはネットワーク防御やサーバーシステムなど、複数の制御ポイントから生成されたセキュリティデータを分析することで、組織的な悪意のある活動を特定する任務を負っています。この調査には、多様なイベントソースを取り込み、それらのソース間で発生した活動を関連付け、統一されたインターフェースを通じてアナリスト主導の調査を支援する実用的な調査結果を提示できるプラットフォームが必要です。アナリストは、このようなリアルタイムかつ複数のソースにわたるイベント分析と調査をどのように実現すべきでしょうか?
正解:D
The correct answer is D because IBM QRadar is built around real-time ingestion, normalization, and correlation of events and flows from many different sources, then presenting those results through a unified investigative interface. The CHFI v11 blueprint includes centralized logging, SIEM solutions, and event correlation approaches, so the exam expects candidates to identify tools that can combine diverse evidence streams into actionable security findings. IBM documentation states that QRadar consolidates log source and network flow data, performs immediate normalization and correlation, and provides dashboards, offenses, log activity, and network activity views for analysts. That lines up closely with the scenario's need for real-time, cross-source analysis. ELK can aggregate and visualize data effectively, but the question stresses built-in correlation of activity across sources as it occurs. OSSEC is host-focused, and EventLog Analyzer is more centered on log monitoring and analysis rather than the broader SIEM-style cross-source correlation platform described here. For CHFI-style tool selection, a requirement for unified, real-time event correlation across network and system telemetry points most directly to IBM QRadar.