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Strengthening Operational Resilience in Wells Fargo Philippines
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[OR] [WFP] [E3] [CBS] [1] [SuPS] Identify Severe but Plausible Scenarios

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In alignment with the expectations of Bangko Sentral ng Pilipinas under BSP Circular No. 1203, financial institutions are required to identify severe but plausible (SbP) scenarios that could disrupt their critical business services.

For CBS-1 Payment & Transaction Processing, these scenarios must reflect high-impact, low-frequency events that test the institution’s ability to remain within defined impact tolerances.

Drawing from the BCM Institute’s operational resilience methodology, SBP scenarios incorporate disruptions across technology, cyber threats, third-party dependencies, and operational failures, ensuring integration with Cyber and ICT Risk Management frameworks.

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Moh Heng Goh
Operational Resilience Certified Planner-Specialist-Expert

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[OR] [WFP] [PH] [E3] [CBS] [1] [SuPS] Payment & Transaction Processing In alignment with the expectations of Bangko Sentral ng Pilipinas under BSP Circular No. 1203, financial institutions are required to identify severe but plausible (SbP) scenarios that could disrupt their critical business services.

For CBS-1 Payment & Transaction Processing, these scenarios must reflect high-impact, low-frequency events that test the institution’s ability to remain within defined impact tolerances.

Drawing from the BCM Institute’s operational resilience methodology, SBP scenarios incorporate disruptions across technology, cyber threats, third-party dependencies, and operational failures, ensuring integration with Cyber and ICT Risk Management frameworks.

The table below outlines recommended SBP scenarios for each Sub-CBS, including expected impacts, proactive mitigation measures, and linkages to cyber resilience.

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

Payment Initiation and Capture

Prolonged outage of digital banking channels due to front-end system failure

Customers are unable to initiate payments; backlog accumulation

Implement multi-channel redundancy (branch, mobile, API); real-time monitoring

Digital channel resilience, DDoS protection

1.2

Customer Authentication and Authorization

Compromise of the authentication system (e.g., MFA bypass attack)

Unauthorised transactions; reputational damage

Strengthen MFA, adaptive authentication, and anomaly detection

Identity & Access Management (IAM), cybersecurity controls

1.3

Payment Validation and Compliance Screening

Failure of the AML screening engine during peak processing

Non-compliant transactions processed; regulatory breach

Deploy failover AML systems; real-time screening validation checks

RegTech resilience, data integrity controls

1.4

Transaction Routing and Network Integration

SWIFT or payment gateway connectivity disruption

Payment delays or failures across networks

Establish alternate routing channels; network redundancy

Network resilience, secure communication protocols

1.5

Funds Availability Check and Reservation

Core banking database latency or corruption

Incorrect balance validation; transaction rejection

Database replication; real-time integrity checks

Data resilience, database security controls

1.6

Payment Processing and Execution

Batch processing engine failure during high-volume period

Delayed or failed transaction execution

Active-active processing setup; workload balancing

Application resilience, system performance monitoring

1.7

Interbank Clearing and Settlement Processing

Clearing house outage or settlement delay

Liquidity strain; settlement risk exposure

Pre-funded accounts; contingency settlement arrangements

Financial market infrastructure (FMI) resilience

1.8

Cross-Border Payment Processing

Geopolitical disruption affecting correspondent banks

Cross-border transaction failures; customer dissatisfaction

Diversify correspondent banking network; contingency routing

Third-party risk, geopolitical risk monitoring

1.9

Transaction Monitoring and Fraud Detection

Failure of the fraud detection engine due to a system crash

Increased fraud losses; undetected suspicious activities

AI-based backup monitoring; manual review escalation

Cyber fraud analytics, threat intelligence integration

1.10

Exception Handling and Repair Processing

Surge in transaction exceptions due to upstream failure

Processing backlog; delayed customer resolution

Automated exception workflows; surge staffing plans

Workflow system resilience, operational risk controls

1.11

Reconciliation and Ledger Balancing

Reconciliation engine failure or data mismatch

Financial misstatements; regulatory reporting errors

Daily automated reconciliation; independent validation checks

Data integrity, audit trail controls

1.12

Payment Status Notification and Reporting

Notification service outage (SMS/email/API)

Customers are unaware of the transaction status

Multi-channel notification redundancy; status dashboards

Communication system resilience

1.13

Customer Dispute and Claims Handling

Case management system outage during dispute surge

Delayed resolution; customer dissatisfaction

Manual fallback procedures; distributed case handling teams

CRM system resilience, data protection

1.14

Regulatory Reporting and Compliance Monitoring

Failure to generate timely regulatory reports due to system issues

Regulatory penalties; compliance breaches

Automated reporting pipelines; regulatory reporting backup systems

Regulatory technology (RegTech), data governance

1.15

Liquidity and Settlement Risk Management

Liquidity monitoring system failure during market stress

Inability to manage settlement obligations

Real-time liquidity dashboards; stress testing scenarios

Treasury system resilience, financial risk systems

1.16

Third-Party and Correspondent Bank Coordination

Critical vendor outage (e.g., payment processor or SWIFT service bureau)

Disruption of the payment processing chain

Third-party redundancy; contractual SLAs with recovery requirements

Third-party cyber risk management

1.17

System Availability and Infrastructure Support

Data centre outage due to power or environmental failure

Full service disruption; system downtime

Active-active data centres; disaster recovery (DR) testing

Infrastructure resilience, DR, and backup systems

1.18

Incident Response and Service Recovery

Delayed incident detection and response to cyberattack

Extended downtime; increased impact severity

24/7 SOC monitoring; incident response playbooks; regular drills

Cyber resilience, incident response capability

 

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

The identification of severe but plausible scenarios enables Wells Fargo Philippines to rigorously test the resilience of its Payment & Transaction Processing services against extreme but credible disruptions.

In line with BSP Circular No. 1203, these scenarios support the institution in validating its ability to remain within impact tolerances and ensure continuity of critical services.

By integrating Cyber and ICT risk considerations, strengthening third-party risk management, and implementing proactive controls, the organisation enhances its preparedness against evolving threats.

Ultimately, these scenarios form the foundation for scenario testing, continuous improvement, and regulatory compliance, reinforcing a resilient and customer-centric financial ecosystem.

 

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