AI Security Monitoring Bootcamp 1 Day in Philadelphia, PA
About this Event
AI-Assisted Security Monitoring & Risk Detection
Duration:
1 Day (10 Executive Education Credits)
• 8 from the live training session
• 1 from Pre-Training Workbook (security monitoring assessment & risk awareness activities) • 1 from Post-Training Resource Pack (implementation exercises & monitoring improvement plan)
Mode:
Instructor-Led Virtual Live Session / In-Person / Corporate In-House
Course Overview
AI-Assisted Security Monitoring & Risk Detection is a practical and future-focused cybersecurity program designed to help professionals leverage Artificial Intelligence to enhance security visibility, accelerate threat detection, improve risk identification, and strengthen organizational cyber resilience.
As cyber threats become increasingly sophisticated, security teams face growing volumes of alerts, logs, events, and risk indicators. Traditional monitoring approaches often struggle to keep pace with modern attack techniques. AI-powered monitoring solutions enable organizations to analyze vast amounts of security data, identify anomalies, prioritize threats, and support faster decision-making.
This workshop explores how AI can be integrated into security operations to improve monitoring, incident detection, threat intelligence analysis, risk assessment, and security analytics. Participants will gain practical insights into AI-assisted security workflows, automated alert analysis, behavioral analytics, predictive risk detection, and intelligent security operations.
Through real-world case studies, practical exercises, risk analysis activities, and implementation planning workshops, participants will learn how to responsibly leverage AI technologies to strengthen organizational security while maintaining governance and compliance requirements.
By the end of the program, participants will create an AI-Enabled Security Monitoring Roadmap and a 60-Day Risk Detection Improvement Plan.
Why Join This Course?
• Understand the role of AI in modern cybersecurity
• Improve security monitoring and visibility
• Enhance threat detection and risk identification
• Learn AI-assisted security analytics techniques
• Reduce alert fatigue through intelligent prioritization
• Strengthen security operations effectiveness
• Improve incident detection and response readiness
• Understand AI governance and risk considerations
• Build a practical AI-assisted monitoring strategy
• Recognition – Certificate of Completion + 10 Executive Education Credits Learning Objectives
Participants will be able to:
• Understand AI applications in cybersecurity
• Identify opportunities for AI-assisted monitoring
• Improve security event analysis processes
• Understand behavioral and anomaly detection concepts
• Strengthen risk assessment and prioritization
• Reduce security monitoring inefficiencies
• Evaluate AI-powered security solutions
• Develop practical monitoring improvement plans
• Support intelligent security operations initiatives
• Build AI-assisted risk detection strategies
Target Audience
• Security Analysts
• SOC Team Members
• Cybersecurity Professionals
• Risk Management Professionals
• Security Operations Teams
• IT Managers
• Technology Leaders
• Compliance Professionals
• Security Engineers
• Anyone involved in monitoring and managing cyber risks
Certification & Credits
Participants will receive the Certificate of Completion from Skelora Edu Tech along with 10 Executive Education Credits (EEC).
Trainer Profile
Delivered by experienced Cybersecurity, Security Operations, Risk Management, AI, and Security Analytics professionals with practical expertise in modern security monitoring environments. Trainers combine technical knowledge with real-world implementation experience to ensure practical workplace application.
Note
Pre-training and post-training activities each carry 1 Executive Education Credit and are designed to strengthen implementation readiness, learning retention, and practical application.
Participants will complete an AI-Enabled Security Monitoring Roadmap and a 60-Day Risk Detection Improvement Plan as part of the program deliverables.
Agenda
Pre-Training Workbook (1 Credit)
Info: Participants will complete a structured readiness assessment before attending the workshop.
Activities include:
• Security Monitoring Assessment
• Risk Detection Readiness Review
• Security Event Analysis Reflection
• Alert Management Evaluation
• Threat Visibility Assessment
• Current Security Challenges Analysis
• AI Awareness Assessment
• Learning Goal Development
This preparation ensures participants arrive with a clear understanding of their current monitoring practices, security challenges, and opportunities for AI-assisted improvement.
Training Day Structure – 8 Modules (8 Hours, 8 Credits)
Module 1: Introduction to AI in Cybersecurity
Info: • Evolution of security operations
• AI's role in modern cyber defense
• Opportunities and limitations of AI
• Business benefits of AI-assisted security
Module 2: Security Monitoring Fundamentals
Info: • Security event monitoring concepts
• Visibility and detection requirements
• Security operations workflows
• Monitoring challenges in modern environments
Module 3: AI-Assisted Threat Detection
Info: • Anomaly detection concepts
• Behavioral analytics fundamentals
• Pattern recognition in security monitoring • Threat prioritization approaches
Module 4: AI-Powered Risk Detection
Info: • Risk identification methodologies
• Predictive risk analysis concepts
• Risk scoring and prioritization
• Continuous risk monitoring
Module 5: Intelligent Alert Management
Info: • Alert fatigue challenges
• Alert classification and prioritization
• AI-assisted event correlation
• Improving analyst efficiency
Module 6: Security Analytics & Decision Support
Info: • Security data analysis fundamentals
• AI-assisted investigation support
• Security insights generation
• Decision-making enhancement
Module 7: Governance, Ethics & AI Security Risks
Info: • Responsible AI practices
• AI governance considerations
• Privacy and compliance concerns
• Managing AI-related risks
Module 8: Toolkit – AI Security Monitoring Roadmap
Info: • Monitoring maturity assessment
• AI adoption opportunities
• Security improvement planning
• 60-Day implementation roadmap
Post-Training Resource Pack (1 Credit)
Info: Participants will receive a practical implementation toolkit designed to support AI-assisted security monitoring adoption.
The resource pack includes:
• 60-Day AI Security Monitoring Challenge
• Risk Detection Assessment Templates
• Security Monitoring Review Worksheets
• Alert Prioritization Framework
• AI Monitoring Readiness Checklist
• Security Analytics Planner
• Continuous Improvement Tracker
• AI Security Implementation Roadmap
Where is it happening?
Event Location & Nearby Stays:
USD 934.05 to USD 1141.45
