(Weeks 7–10 | Lec 12 Hrs / Lab 24 Hrs / OJT 12 Hrs | 48 Total Hrs | 2.0 Credit Hrs)
Students will:
• Configure and operate major AI-enhanced SIEM platforms
• Develop custom correlation rules using machine learning algorithms
• Analyze complex security log data with automated analysis tools
• Create effective security dashboards with AI-powered insights
Prerequisite: APCYBER 102 – Network Security and Infrastructure Protection
Tools: Splunk Enterprise Security, Microsoft Sentinel, IBM QRadar, AI-enhanced analytics
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