Course Details
Cybersecurity Risk Management in the Age of AI, Machine Learning and Emerging Technologies: Safeguarding Organisational Systems and Digital Assets
Cyberattacks pose an increasing threat to financial institutions and their customers, as the digital economy becomes more interconnected and data-driven. In today’s era of Artificial Intelligence (AI), Machine Learning (ML) and other emerging technologies, the nature of cyber threats has evolved; becoming faster, more sophisticated, and often automated. The loss or compromise of critical data […]
Jul 14, 2026
9:00 am
₦218,359.38
3 Days
Cyberattacks pose an increasing threat to financial institutions and their customers, as the digital economy becomes more interconnected and data-driven. In today’s era of Artificial Intelligence (AI), Machine Learning (ML) and other emerging technologies, the nature of cyber threats has evolved; becoming faster, more sophisticated, and often automated. The loss or compromise of critical data can severely impact an organisation’s reputation, erode consumer confidence, disrupt stakeholder relationships, and result in significant financial loss.
With the exponential interconnectivity of systems across the financial services industry, cybersecurity risk management must take precedence as a core pillar of organisational sustainability and resilience. A key determinant of an organisation’s ability to survive within this dynamic threat landscape lies in how rapidly and intelligently it can detect, respond to, and mitigate risks; leveraging technology, data analytics, and predictive capabilities..
This programme is therefore designed to equip participants with the knowledge and skills to lead cybersecurity and risk management initiatives, protect their organisation’s digital assets, and develop adaptive strategies for monitoring, defending, and mitigating the wide array of threats posed by cyberattacks in an AI-driven environment.
- Become conversant with global trends and emerging issues in cybersecurity risk management.
- Utilise the latest AI-enabled tools and techniques to detect and mitigate cyberattacks.
- Demonstrate updated knowledge of cybersecurity architecture and frameworks.
- Describe cybersecurity and its key components, and discuss various cybersecurity testing and threat simulation methods.
- Understand the key elements of cybersecurity risk management and its implications for business continuity and operational resilience.
- Gain insights into various global cyber threats and their strategic implications for financial institutions.
- Understand the impact of AI-driven cyberattacks on the security and safety of digital systems and assets.
- Implement cybersecurity prevention, detection, and response strategies through an enterprise-wide risk management approach
At the end of this programme, participants will:
- Be able to analyse and evaluate the cybersecurity needs of an organisation.
- Be able to identify, assess, and respond to cybersecurity threats and incidents using advanced tools and techniques.
- Develop an organisational understanding to manage cybersecurity risks to systems, assets, data, and capabilities in the age of AI and emerging technologies
- Overview of Cybersecurity Risk Management in the Digital Age
- Cyber Space, Financial Services and Emerging Technologies
- System and Network Security
- Emerging Tools and Technologies for Cyber Defence
- Securing Online Transactions in the Digital Payment Industry
- Information Security and Risk Management Frameworks
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