In the previous chapter, we explored how Microsoft Sentinel empowers security teams with centralized visibility, automated response, and advanced threat detection through its powerful SIEM and SOAR capabilities. We examined how to ingest and correlate data from diverse sources, build analytic rules, investigate incidents using the MITRE ATT&CK framework, and automate workflows using Logic Apps. These capabilities are essential for modern Security Operations Centers—but as threats evolve in speed and sophistication, reactive security operations alone are no longer sufficient.

错误:搜索内容不能为空,请输入英文关键词
错误:关键词超出字数限制,请精简
高级检索

AI and Machine Learning in Cloud Security

  • Rezwanur Rahman

摘要

In the previous chapter, we explored how Microsoft Sentinel empowers security teams with centralized visibility, automated response, and advanced threat detection through its powerful SIEM and SOAR capabilities. We examined how to ingest and correlate data from diverse sources, build analytic rules, investigate incidents using the MITRE ATT&CK framework, and automate workflows using Logic Apps. These capabilities are essential for modern Security Operations Centers—but as threats evolve in speed and sophistication, reactive security operations alone are no longer sufficient.