To address the risks associated with the data breach in FNB's mobile app, the bank can implement risk treatment criteria at various strategic levels, as follows:
Strategic Level
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Policy Development:
- Formulate and update comprehensive data privacy policies that align with the Protection of Personal Information Act (POPIA) to ensure compliance and mitigate risks of data breaches.
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Governance Framework:
- Establish a robust governance framework by appointing a Chief Information Security Officer (CISO) and creating a dedicated data protection team to oversee data privacy initiatives and compliance.
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Risk Assessment and Monitoring:
- Conduct regular risk assessments to identify and document potential data security risks, including emerging risks linked to technological advancements in banking.
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Stakeholder Engagement:
- Engage with stakeholders, including customers and regulatory bodies, to enhance transparency around data handling practices and breach notifications.
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Crisis Management Plan:
- Develop a crisis management plan that includes communication strategies for responding to data breaches swiftly and effectively to protect the bank’s reputation and customer trust.
Tactical Level
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Employee Training:
- Implement rigorous training programs for employees to enhance awareness of data protection, privacy policies, and the operational risks associated with data handling.
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Technology Investments:
- Invest in advanced cybersecurity technologies and tools for monitoring and preventing unauthorized access to sensitive customer information.
Operational Level
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Incident Response Procedures:
- Establish clear incident response protocols for identifying, reporting, and managing data breaches, ensuring timely communication with affected customers and regulators.
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Auditing and Compliance Checks:
- Conduct regular audits of data handling practices and compliance checks to ensure adherence to established policies and identify any weaknesses needing immediate attention.
By addressing these layers, FNB can better manage its risks, protect customer data, and reduce the likelihood of severe consequences in the future.