2025: Business Resilience

R1800,00

Course Objectives: To define business resilience and its significance in today’s business environment, to explore the integration of cybersecurity and incident response in resilience planning, to understand the systems development lifecycle and general controls in building resilient systems, to analyse recent high-profile failures in business resilience for actionable insights, to examine the role of AI and big data in predicting and mitigating risks, to equip participants with tools and strategies for implementing robust business resilience frameworks.

Key benefits/ Outcomes: Comprehensive understanding of business resilience concepts and strategies, Insights into cybersecurity threats and effective response planning, Knowledge of regulatory compliance and data protection best practices, Case-based learning to draw lessons from real-world resilience failures, Practical skills in leveraging AI and big data for predictive analytics, Enhanced ability to design and implement resilient business systems.

Day 1: Foundations of Business Resilience

Session 1: Defining Business Resilience

  • Key concepts and principles of business resilience.
  • Importance of resilience in dynamic business environments.
  • Real-world examples of resilience in action.

Session 2: Cybersecurity Fundamentals

  • Overview of common cyber threats (e.g., phishing, ransomware, DDoS).
  • Best practices for protecting business assets.
  • Introduction to cybersecurity frameworks.

Session 3: Incident Response Planning

  • Key elements of an incident response plan. Insurance as a risk mitigator.
  • Role of cross-functional teams during a crisis. Legal and forensic roles.
  • Simulated exercises for crafting an effective plan.

 Session 4: Regulatory Context and Compliance

  • Overview of the Protection of Personal Information Act (POPIA) in South Africa.
  • Global data protection regulations (e.g., GDPR). Case law of European fines against other countries.
  • Aligning compliance with resilience goals. The role of combined assurance and internal audit.

Session 5: Interactive Workshop

  • Case-based activity: Identifying gaps in business resilience.

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Day 2: Building and Sustaining Resilience

Session 1: General Controls in Resilience

  • Definition and types of general controls.
  • Role of controls in preventing and mitigating risks. Automated detection.
  • Designing effective control systems. Prevention versus detection.  Manual versus automated.

Session 2: Systems Development Lifecycle (SDLC)

  • Overview of SDLC stages.
  • Incorporating resilience into each SDLC phase. Role of assurance providers.
  • Common pitfalls and solutions in resilient system design.

Session 3: Leveraging AI and Big Data

  • Role of AI in predicting and mitigating risks.
  • Using big data for trend analysis and decision-making.
  • Examples of AI-driven resilience tools.

Session 4: Case Study 1: Cyber Attack on a Multinational Corporation (2022)

  • Detailed analysis of the event. Lessons learned from incident response and recovery efforts. Application of best practices to prevent future incidents.

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Day 3: Lessons from Failures and Future Trends

Session 1: Case Study 2: Supply Chain Disruption in Manufacturing (2023)

  • Analysis of the root causes and impact. Strategies for mitigating supply chain risks.
  • Role of technology in improving supply chain resilience.

Session 2: Case Study 3: Data Breach in the Financial Sector (2021)

  • Examination of breach details and recovery efforts.
  • Key takeaways for enhancing data protection. Discussion on regulatory implications.

Session 3: Emerging Trends in Resilience

  • Advances in AI, machine learning, and predictive analytics.
  • Adopting blockchain and other technologies for resilience.
  • Future challenges and preparedness strategies.