TDI

Advanced Risk Management, Security Controls & Monitoring

Duration

5 Days

Start Date

3-Nov-2025

End Date

7-Nov-2025

Venue

VIENNA -AUSTRIA

price

1690 KD

20% discount for group above 5 attendees

 

Course Overview:

This advanced course is designed for professionals who want to deepen their expertise in risk management with a strong focus on security controls and continuous monitoring. Participants will explore advanced risk identification and mitigation strategies, modern security control frameworks (e.g., NIST, ISO 27001, COBIT), and the use of automated tools for risk monitoring and incident detection. Emphasis is placed on aligning security practices with business objectives and regulatory requirements while enabling proactive risk mitigation in dynamic threat environments.

Through practical labs, case studies, and strategy sessions, learners will gain the skills to implement robust risk management programs, design layered security controls, and establish real-time monitoring processes.

Course Objectives:

By the end of this course, participants will be able to:

  1. Apply advanced risk assessment and management techniques.
  2. Design and implement layered security control architectures aligned with business risk.
  3. Understand and utilize major control frameworks (e.g., ISO 27001, NIST 800-53, COBIT).
  4. Establish continuous monitoring programs using key risk indicators (KRIs) and security information and event management (SIEM) tools.
  5. Conduct threat modeling and vulnerability assessments.
  6. Build an integrated governance, risk, and compliance (GRC) framework with real-time oversight.

Who Should Attend:

This course is best suited for:

  • Information Security Managers and Officers
  • IT Risk and Cyber Risk Professionals
  • Security Architects and Analysts
  • Compliance Officers and Internal Auditors
  • Risk Managers and GRC Consultants
  • Professionals responsible for operational or enterprise risk

Course Outline:

Module 1: Advanced Risk Management Foundations

  • Evolution of risk management in a digital context
  • Risk taxonomy, critical risk mapping, and risk interdependencies
  • Risk appetite, tolerance, and residual risk analysis

Module 2: Threat Landscape and Advanced Risk Assessment

  • Advanced threat identification (insider threats, APTs, third-party risks)
  • Quantitative and qualitative risk assessment techniques
  • Threat modeling methodologies (e.g., STRIDE, PASTA)

Module 3: Security Controls Architecture

  • Overview of control types: preventive, detective, corrective, compensating
  • Designing defense-in-depth architectures
  • Aligning controls with business impact and regulatory needs

Module 4: Control Frameworks and Standards

  • In-depth look at ISO/IEC 27001, NIST SP 800-53, COBIT, CIS Controls
  • Mapping controls across multiple frameworks
  • Control assessment, testing, and audit readiness

Module 5: Continuous Monitoring Strategies

  • Key concepts: KRIs, KPIs, and real-time risk dashboards
  • Implementing continuous diagnostics and mitigation (CDM)
  • Integrating SIEM, SOAR, and endpoint detection and response (EDR) tools

Module 6: Risk Response and Incident Management

  • Incident detection, escalation, and containment
  • Developing response playbooks and communication plans
  • Lessons learned and post-incident reviews

Module 7: Metrics, Reporting, and Governance

  • Developing meaningful metrics for executive and board reporting
  • Risk dashboards and heatmaps
  • Integrating monitoring with GRC platforms

Module 8: Emerging Trends and Future Risks

  • AI and automation in risk monitoring
  • Cloud security and third-party risk monitoring
  • Regulatory trends and compliance automation

Module 9: Case Studies and Labs

  • Real-world incident walkthroughs
  • Control gap analysis and remediation planning
  • Building and presenting a monitoring and control strategy

Module 10: Wrap-Up and Capstone Exercise

  • Review of critical concepts and tools
  • Capstone group presentation or final assessment
  • Action planning for organizational implementation