AI Fundamentals for Cybersecurity
AI & Cybersecurity Fundamentals
• Introduction to AI and its role in cybersecurity
• Machine learning and generative AI concepts
• AI applications across security operations
• Opportunities and limitations of AI in cybersecurity
AI-Assisted Threat Detection & Analysis
• Identifying suspicious activities using AI
• Threat classification and security event analysis
• AI-assisted anomaly detection concepts
• Analyzing indicators of compromise and threat information
Security Data & Log Analysis
• Working with security logs and structured data
• AI-assisted log analysis
• Identifying patterns and unusual activities
• Summarizing and correlating security events
Prompting for Cybersecurity Tasks
• Prompt engineering fundamentals for security professionals
• Creating effective prompts for threat analysis
• Security investigation and summarization prompts
• Validating AI-generated security outputs
• Hands-on exercises
Cybersecurity Automation & Threat Intelligence
Security Workflow Automation
• Fundamentals of cybersecurity automation
• Identifying repetitive security tasks for automation
• Designing AI-assisted security workflows
• Automating security analysis and reporting tasks
AI for Threat Intelligence
• Collecting and analyzing threat intelligence
• Processing indicators and threat information
• AI-assisted threat intelligence summarization
• Connecting threat intelligence with security investigations
AI-Assisted Security Operations
• Alert analysis and prioritization
• Security incident triage
• Identifying potential false positives
• Generating investigation summaries and recommendations
Automation with Scripts & APIs
• Introduction to scripting for security automation
• Working with security-related APIs
• Processing security data programmatically
• Building basic automated security workflows
• Hands-on exercises
AI-Assisted Incident Response & Security Workflows
AI for Incident Investigation
• Incident investigation workflow
• Analyzing alerts, logs, and indicators
• Building incident timelines with AI assistance
• Identifying potential attack patterns
AI-Assisted Incident Response
• Automating initial incident triage
• Response recommendations and investigation support
• Generating incident reports
• Human validation and analyst oversight
Security Automation Workflows
• Designing end-to-end AI-assisted security workflows
• Combining threat intelligence, analysis, and response activities
• Workflow testing and validation
• Handling errors and unreliable AI outputs
AI Security, Governance & Best Practices
• Data privacy and sensitive security information
• Risks of using AI in security operations
• AI output validation and human-in-the-loop controls
• Governance, access control, and responsible AI practices
• Hands-on exercises
