Risk Management: Internal Controls & Fraud Prevention Self-Study Webinar
Overview
Risk management is evolving rapidly as organizations face increasingly complex financial, operational, and technology-driven threats. This self-study webinar provides a practical, structured approach to building and strengthening an effective risk management and internal control framework, with a focus on enterprise risk management (ERM), fraud prevention, and emerging opportunity and risk areas, including AI. You’ll gain insight into:
- How to design and implement a structured, effective risk management and internal control framework
- Key emerging risks, including cybersecurity, AI, climate, and macroeconomic pressures
Practical approaches to managing third-party risk, strengthening controls, and preventing fraud
Objective
To provide CPAs and other finance professionals with a practical understanding of risk management and internal controls, enabling them to develop effective ERM frameworks, address emerging risks, and strengthen fraud prevention and compliance efforts.
DETAILED LEARNING OBJECTIVES
• Understand the purpose and objectives of a risk management program
• Identify the key steps in the risk management process
• Recognize methods used to identify internal and external risks
• Evaluate risks using likelihood and impact analysis
• Understand risk response strategies including avoidance, reduction, transfer, and acceptance
• Explain the importance of ongoing monitoring and risk review
• Identify key documentation components in a risk management framework
• Understand the role of business continuity planning in risk mitigation
• Recognize the importance of testing controls and identifying weaknesses
• Understand the function and purpose of internal controls
• Explain the principles and structure of enterprise risk management (ERM)
• Differentiate between risk appetite and risk tolerance
• Understand governance responsibilities in overseeing risk management
• Identify SEC requirements related to risk factor disclosures
• Understand the purpose and characteristics of forward-looking statements
• Recognize cybersecurity risks and required organizational disclosures
• Understand governance structures related to cybersecurity oversight
• Identify benefits and limitations of artificial intelligence in risk management
• Recognize how data analytics and AI are used in fraud detection
• Understand key risks associated with third-party relationships
• Identify the purpose and use of SOC reports in evaluating vendors
• Recognize emerging risks from the convergence of cybersecurity and AI
• Differentiate between operational, compliance, and strategic risks
• Understand the importance of data governance and data privacy controls
• Recognize the role of continuous improvement in enhancing risk management processes
Emphasis
- Eight building blocks of a successful risk management program
- How to establish an effective framework for Enterprise Risk Management (ERM)
- SEC disclosures: risk factors
- SEC concept release
- Cybersecurity and AI risks and concerns
- New rules around climate change and climate risks
- The impacts of:
– Geopolitical conflict
– Tariffs
– Trade
– Inflation
– Interest rates - The intersection of risk management and AI, including:
– Foundation models
– Generative AI
– Agentic AI - Third party risks and SOC reports
- The convergence of cyber risks and AI in 2026
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