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Operational Resilience in Practice: The China Bank Approach
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[OR] [CBC] [E3] [CBS] [1] [SuPS] Identify Severe but Plausible Scenarios

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In alignment with the expectations of Bangko Sentral ng x [PH] [CBC] LogoPilipinas under Circular No. 1203 Series of 2024 (Operational Resilience Guidelines), financial institutions such as China Bank are required to identify Severe but Plausible Scenarios (SuPS) that could disrupt their Critical Business Services (CBS).

These scenarios must go beyond traditional disaster recovery assumptions and consider extreme yet realistic disruptions, including cyber-attacks, third-party failures, technology outages, and operational breakdowns.

For CBS-1 Deposit and Account Services, the identification of such scenarios ensures that China Bank can assess vulnerabilities across the service lifecycle—from onboarding to transaction processing and reporting—and demonstrate resilience within defined impact tolerances.

The table below outlines recommended severe but plausible scenarios, their potential impacts, proactive risk management actions, and how they integrate with Cyber and ICT Risk Management, consistent with regulatory expectations and BCM Institute guidance.

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Moh Heng Goh
Operational Resilience Certified Planner-Specialist-Expert

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Introduction

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In alignment with the expectations of Bangko Sentral ng Pilipinas under Circular No. 1203 Series of 2024 (Operational Resilience Guidelines), financial institutions such as China Bank are required to identify Severe but Plausible Scenarios (SuPS) that could disrupt their Critical Business Services (CBS).

These scenarios must go beyond traditional disaster recovery assumptions and consider extreme yet realistic disruptions, including cyber-attacks, third-party failures, technology outages, and operational breakdowns.

For CBS-1 Deposit and Account Services, the identification of such scenarios ensures that China Bank can assess vulnerabilities across the service lifecycle—from onboarding to transaction processing and reporting—and demonstrate resilience within defined impact tolerances.

The table below outlines recommended severe but plausible scenarios, their potential impacts, proactive risk management actions, and how they integrate with Cyber and ICT Risk Management, consistent with regulatory expectations and BCM Institute guidance.

Banner [Table] [OR] [E3] Identify Severe but Plausible Scenarios

Table P5: Identify Severe but Plausible Scenarios for CBS-1  
 

Sub-CBS Code

Sub-CBS

Severe but Plausible Scenario

Impact / Effect

Proactive Risk Management Action

Link to Integration of Cyber and ICT Risks

1.1

Customer Onboarding and Account Application

Digital onboarding platform outage due to cloud service failure

Inability to onboard new customers; reputational damage

Implement multi-region cloud redundancy; offline onboarding fallback

Cloud resilience, availability monitoring, third-party ICT risk

1.2

Customer Identification and Verification (KYC/CDD)

Failure of e-KYC vendor or biometric system compromise

Delays in onboarding; regulatory breaches (AML/KYC)

Maintain secondary KYC providers; manual verification procedures

Third-party cyber risk, identity system security

1.3

Account Approval and Opening

Core banking system approval workflow failure due to system bug

Account opening delays; backlog accumulation

Pre-production testing, automated workflow monitoring

Application resilience, SDLC security controls

1.4

Initial Funding and Deposit Booking

Payment gateway disruption or settlement system outage

Failed funding transactions; customer dissatisfaction

Integration with multiple payment channels; reconciliation buffers

Payment system cyber resilience, network dependency

1.5

Product Terms Setup and Account Parameter Maintenance

Unauthorized configuration changes due to privileged access compromise

Incorrect interest rates/fees; financial loss

Enforce privileged access management (PAM), dual controls

Identity access management (IAM), insider threat monitoring

1.6

Deposit Transactions Processing

Core banking outage during peak transaction period

Transaction delays; inability to process deposits

High-availability architecture; real-time monitoring; failover systems

Core banking resilience, infrastructure redundancy

1.7

Withdrawal and Funds Access Processing

ATM/POS network outage due to telecom failure or cyberattack

Customers unable to withdraw funds; reputational damage

Multi-network routing; telecom redundancy; cash contingency plans

Network resilience, DDoS protection

1.8

Account Servicing and Customer Maintenance

CRM system outage or data corruption incident

Inability to update customer records; service delays

Data backup, system replication, periodic integrity checks

Data resilience, backup and recovery controls

1.9

Interest, Fees, and Charges Processing

Batch processing failure due to system error or data corruption

Incorrect charges; financial discrepancies

Automated reconciliation; batch validation controls

Data integrity controls, processing system monitoring

1.10

Statement, Passbook, and Balance Reporting

Failure in reporting engine or data warehouse outage

Customers unable to access statements; compliance issues

Secondary reporting systems; data replication

Data warehouse resilience, reporting system security

1.11

Digital Account Access and Channel Integration

Mobile/online banking platform cyberattack (e.g., DDoS or ransomware)

Service unavailability; customer access disruption

Web application firewall (WAF), DDoS protection, incident response drills

Cyber resilience, application security, SOC monitoring

1.12

Reconciliation and Exception Management

Reconciliation system failure or delayed batch processing

Financial mismatches; operational risk exposure

Automated reconciliation tools; exception escalation workflows

Data processing resilience, audit trail monitoring

1.13

Fraud Detection and Transaction Monitoring

AI/AML monitoring system outage or model failure

Increased fraud risk; undetected suspicious transactions

Redundant fraud monitoring systems; manual review escalation

Cyber analytics resilience, AI model governance

1.14

Regulatory Reporting and Compliance Monitoring

Regulatory reporting system outage or data submission failure

Non-compliance penalties; regulatory sanctions

Pre-submission validation; backup reporting processes

Regulatory system resilience, secure data transmission

1.15

Incident Response, Business Continuity, and Service Recovery

Major cyberattack (e.g., ransomware) impacting multiple systems

Prolonged service outage; systemic operational disruption

Enterprise incident response plan; regular DR testing; cyber recovery strategy

Integrated cyber and BC/DR planning, SOC and CERT coordination

 

Banner [Summing] [OR] [E3] Identify Severe but Plausible Scenarios

The identification of Severe but Plausible Scenarios for CBS-1 Deposit and Account Services enables China Bank to shift from a reactive to a proactive operational resilience posture.

By systematically analysing disruptions across people, process, technology, and third-party dependencies, the bank can ensure that its critical services remain within defined impact tolerances, even under extreme stress conditions.

Consistent with Bangko Sentral ng Pilipinas guidelines, the integration of Cyber and ICT risks into each scenario is essential, reflecting the increasing convergence of operational resilience and cyber resilience.

Ultimately, these scenarios form the foundation for scenario testing, resilience validation, and continuous improvement, ensuring that China Bank can sustain trust, maintain regulatory compliance, and deliver uninterrupted services to its customers in times of crisis.

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