[D5] Applied AI for Cybersecurity

Description:
This course trains IT and security professionals to leverage AI for detecting, preventing, and responding to cybersecurity threats. Participants will explore both enterprise-grade and open-source AI tools, building practical defense workflows for organizations of all sizes.

Why: Demand is surging — cybersecurity + AI is a premium skillset.

Tools: Splunk AI (exposure), Microsoft Security Copilot (exposure), Elastic Stack, Wazuh.

Outcomes:

• Detect anomalies with AI.
• Automate threat intelligence.
• Run AI-based security audits.

Course Outline:

• Module 1: AI in Cybersecurity (3 hrs)
  • Threat detection and anomaly monitoring.
  • Tools: Darktrace, Microsoft Security Copilot, Wazuh, Elastic Stack.

• Module 2: Intrusion Detection & Analysis (4 hrs)
  • AI for network traffic analysis.
  • Hands-on with Elastic and Wireshark + ML plugins.

• Module 3: Automating Security Workflows (4 hrs)
  • AI-powered SOC automation.
  • Using open-source SIEM systems.

• Module 4: Building a Security Playbook (4 hrs)
  • Designing AI-powered incident response plans.
  • Capstone: create a defensive AI-enabled SOC workflow.

Learning Outcomes:

• Use AI tools to detect anomalies and threats.
• Apply AI for intrusion detection and monitoring.
• Automate security workflows with SIEM tools.
• Build an AI-driven incident response plan.
• Balance enterprise and open-source security tools.

Course Development Lead:
Dr. P. Narayanan is a Cybersecurity researcher with 16 years in defensive AI systems, specializing in real-time threat detection and automated incident response for governments and enterprises.