Learning Objectives:

  • Identify emerging cyber risks in digital banking.

  • Understand AI and cybersecurity.

  • Describe future trends in cyber risk management.

8.1 Emerging Risks and Future Trends

The SUSS course covers “Financial services industry and evolving risk” as a core topic . The H.L. College of Commerce syllabus covers “Emerging trends and challenges in cyber security” . The Egyptian Banking Institute course covers “Trends in internet banking” and “Trends in risk management and their application” .

8.2 AI and Cybersecurity

AI is both a tool for cybersecurity and a source of new risks.

AI-Powered Threats:

  • Adversarial AI: Attacks that manipulate AI systems.

  • Deepfake Fraud: Using AI-generated content to impersonate individuals.

  • AI-Powered Phishing: More sophisticated and personalised phishing attacks.

AI-Powered Defences:

  • AI-Based Fraud Detection: The H.L. College of Commerce syllabus covers “AI-based Fraud Detection” .

  • Anomaly Detection: AI systems that identify unusual patterns.

  • Behavioural Analytics: The H.L. College of Commerce syllabus covers “Behavioural biometrics & Anomaly Detection” .

8.3 Technology and Automation

The SUSS course covers “Automation” as a core topic . The Egyptian Banking Institute course covers “Technology and the future” including “Trends in internet banking, Trends in risk management and their application, Governance issues, Changing regulation and expectations, Other drivers” .

Automation:
Automated security monitoring and response.

Regulatory Technology (RegTech):
The SUSS course covers “Regulatory and compliance framework” as a core topic . The Egyptian Banking Institute course covers “Domestic regulations” and “Cross border regulation” .

8.4 The Future of Risk Management

The academic literature notes that the future of risk management in banking is expected to feature greater automation, real-time processing, and interactive reporting to enhance decision-making and regulatory compliance . This transformation requires embedding risk management into all organizational processes, reducing manual interventions, and ensuring seamless integration across operations .

Key Future Trends:

  • Real-Time Risk Monitoring: Continuous, automated risk assessment.

  • Predictive Risk Analytics: Using AI to predict future risks.

  • Integrated Risk Management: Embedding risk management into all processes.

  • Regulatory Evolution: Adapting to changing regulatory expectations

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