. .

Strengthening Operational Resilience at AIA Bhd: An Enterprise Implementation Guide
BB OR [B] 13

[OR] [MCIS] [E3] [CBS] [1] [ST] Perform Scenario Testing

[OR] [AIA Bhd] [Full Banner] Strengthening Operational Resilience at AIA Bhd

Scenario Testing enables AIA Bhd to determine whether CBS-1 Insurance Policy Application and Issuance can continue to be delivered within its defined Impact Tolerance when exposed to Severe but Plausible Scenarios.

The testing programme should assess the complete customer journey—from initial product enquiry and application registration through underwriting, premium confirmation, policy issuance and post-issuance reconciliation—rather than examining individual systems, departments or recovery plans in isolation.

The 20 Sub-CBS processes provide the detailed basis for selecting testing objectives, participants, injects, interdependencies, and measurable resilience outcomes.

Severe but Plausible Scenarios establish the disruptive conditions to which the service will be exposed, while the Impact Tolerance establishes the boundary against which performance and harm are assessed.

Cyber and ICT Risks must be incorporated into the test design because technology, data, connectivity, identity management, digital channels, and third-party services are integral to the delivery of CBS-1

Scenario Testing should therefore examine how people, processes, technology, information, facilities, third parties, and external entities respond collectively during disruption.

New call-to-action

Dr Goh Moh Heng
Operational Resilience Planner-Specialist-Expert

x [OR] [AIA Bhd] [Disclaimer] Legal Disclaimers and Usage of eBook Banner

New call-to-actionCBS-1 Insurance Policy Application and Issuance

Introduction

New call-to-action

[OR] [MCIS] [E3] [CBS] [1] [ST] Policy Issuance and Underwriting

Identifying Severe but Plausible Scenarios is a fundamental step in determining whether MCIS Insurance (MCIS) can continue delivering CBS-1 Policy Issuance and Underwriting during a significant operational disruption.

The purpose is not merely to compile a list of risks, but to describe credible conditions that could severely impair the end-to-end service, challenge existing controls and recovery assumptions, and threaten the approved Impact Tolerance.

Scenario identification should therefore begin with the customer and service outcome.

For CBS-1, this means considering whether MCIS can continue receiving applications, completing appropriate underwriting assessments, making authorised decisions, calculating accurate premiums, issuing valid policy documents, notifying customers and maintaining reliable policy records.

The Sub-CBS processes provide the detailed basis for this assessment. They show where a disruption may originate, how it may propagate across operational and technology dependencies, and where customer harm or an Impact Tolerance breach could arise.

Cyber and ICT Risks must be embedded within this analysis because system outages, cyberattacks, compromised identities, corrupt data, failed changes, connectivity failures and third-party technology incidents can affect several Sub-CBS processes simultaneously.

The scenarios below should be used to design scenario tests that assess MCIS’s ability to remain within its formally approved Impact Tolerance.

Where an Impact Tolerance has not yet been expressed numerically, the scenario assessment should consider at least:

  • Maximum tolerable duration of materially disrupted policy issuance;
  • Maximum number or percentage of customers unable to submit or progress an application;
  • Maximum application, underwriting or issuance backlog;
  • Maximum number of incorrect, incomplete or unreconciled policies;
  • Maximum tolerable customer, financial, legal, compliance or reputational harm;
  • Maximum acceptable data loss or integrity uncertainty;
  • Maximum time before priority and vulnerable customers receive appropriate intervention.

The scenarios are intentionally varied. They include cyberattack, data-integrity compromise, third-party failure, specialist workforce loss, telecommunications disruption, failed technology change, capacity exhaustion, facility inaccessibility and compound failure of primary and recovery arrangements.

 

Banner [Table] [OR] [E3] Perform Scenario Testing

Table 1: Severe but Plausible Scenario Identification

Sub-CBS Code

Name of Sub-CBS

Recommended Severe but Plausible Scenario

Scenario Description

Primary Disruption Trigger

Impact on Sub-CBS

Impact on Critical Business Service

CBS-1.1

Customer Application Intake

Simultaneous digital application-channel and telecommunications disruption during peak demand

A Distributed Denial-of-Service attack causes severe degradation of MCIS’s digital application channel while a telecommunications provider experiences a regional connectivity failure. Customers and intermediaries repeatedly resubmit applications after acknowledgements are delayed. Some submissions are duplicated, while others are retained temporarily on intermediary devices and transmitted later. Contact-centre demand rises sharply as customers seek confirmation.

Coordinated DDoS attack, amplified by regional telecommunications failure.

Applications cannot be submitted consistently. Intake personnel cannot confirm whether submissions were received, and duplicate, delayed and incomplete applications accumulate. Alternative intake channels become congested.

New business processing slows immediately. Uncertainty over application receipt propagates to validation, underwriting and customer communication. Prolonged disruption could prevent customers from obtaining timely protection and cause the CBS backlog and disruption duration to exceed tolerance.

CBS-1.2

Application Validation and Completeness Review

Failed technology change causes incomplete applications to pass automated validation

A software deployment incorrectly modifies mandatory-field and document-validation rules. Applications without required declarations, identity evidence or supporting documents are marked complete and transferred to underwriting. The defect remains undetected for several hours because the monitoring dashboard reports only successful system processing rather than validation quality.

Failed software deployment combined with ineffective control monitoring.

Validation outcomes become unreliable. Staff must identify the affected application population, suspend automated processing and conduct retrospective manual validation.

Invalid applications progress into customer profiling, underwriting, compliance screening and pricing. The need to recall and reprocess cases creates delay, customer confusion and a growing backlog that may threaten the CBS Impact Tolerance.

CBS-1.3

Customer Risk Profiling

Risk-profiling data feed becomes stale while automated processing continues

A critical external or internal data feed stops updating, but the interface continues returning technically successful responses. Customer risk profiles are therefore produced using outdated or incomplete attributes. The defect affects selected customer segments and is not immediately apparent from individual case reviews.

Silent data-feed interruption or data-freshness control failure.

Customer profiles may be understated, overstated or inconsistent. Automated case-routing and underwriting requirements become unreliable.

Incorrect profiling can send cases through inappropriate underwriting paths, weaken fraud and compliance controls, cause unsuitable decisions and require large-scale retrospective review. This can delay policy issuance and potentially create customer or regulatory harm.

CBS-1.4

Medical and Financial Underwriting Assessment

Critical medical-information provider outage combined with loss of specialist underwriters

A cyber incident disrupts a provider of medical evidence at the same time that a regional health emergency or workforce event reduces the availability of experienced medical and financial underwriters. Applications requiring specialist assessment rise substantially, while alternative providers have limited capacity.

Critical third-party cyber disruption combined with specialist workforce loss.

Medical reports, financial evidence and expert assessments cannot be obtained or completed within normal timeframes. The specialist-case queue grows rapidly.

Policy decisions for higher-risk and complex customers are delayed. Pressure may develop to weaken evidence requirements or rely on unapproved assumptions. Prolonged delay could cause customer harm and breach service-duration or backlog tolerances.

CBS-1.5

Fraud Screening and Compliance Verification

Compromise of a critical screening provider produces unreliable verification results

A third-party fraud, identity or compliance-screening provider reports unauthorised privileged access. Screening responses received before the incident may have been altered, suppressed or fabricated. At the same time, attackers submit manipulated applications designed to exploit the disruption.

Cyber compromise of a critical third-party screening service.

MCIS cannot rely on recent screening outcomes. New screening requests may be unavailable, while completed cases require revalidation. Suspicious applications must be quarantined.

Policies cannot be issued safely until required screening has been completed or repeated. A large affected population could suspend downstream decision-making and policy issuance, threatening the Impact Tolerance and creating financial crime and compliance exposure.

CBS-1.6

Underwriting Decision Management

Ransomware disrupts the underwriting workflow and corrupts decision-status records

Ransomware encrypts the underwriting workflow environment and compromises part of the decision database. After initial restoration, some applications show conflicting approval, decline or referral statuses. Audit histories are incomplete, and access credentials may have been compromised.

Ransomware combined with database-integrity and identity compromise.

Underwriters cannot retrieve case histories reliably or confirm whether decisions were authorised and completed. Manual decision-making must be introduced under degraded conditions.

Policy issuance must be restricted until decisions are trusted and reconciled. A prolonged inability to make or validate underwriting decisions could become the principal driver of a CBS Impact Tolerance breach.

CBS-1.7

Premium Calculation and Pricing Confirmation

Pricing-engine change produces materially incorrect premiums

An incorrect pricing parameter is deployed to the production environment. The engine remains available and processes transactions normally, but premiums are understated or overstated for selected products or customer profiles. The issue is discovered after quotations and some policy documents have been generated.

Failed technology change and inadequate pricing-data validation.

Premium calculations cannot be trusted. Affected applications must be identified, suspended, recalculated and reviewed by appropriate product or actuarial authorities.

Incorrect premiums may result in financial loss, unfair customer outcomes, policy rework and delayed issuance. If the affected population is material, correction and customer communication requirements may cause the CBS to exceed its tolerance.

CBS-1.8

Policy Documentation Preparation

Malware or template corruption produces inaccurate contractual documents

Malware or an unauthorised template change modifies policy clauses, benefit schedules or customer-data mapping within the document-generation process. Documents appear complete but contain missing exclusions, incorrect benefits or customer information belonging to another application.

Document-template compromise, malware or unauthorised privileged change.

Policy documents cannot be relied upon. Generation must be suspended while approved templates and data mappings are restored and affected documents are identified.

Even where underwriting and pricing are complete, policies cannot be issued safely. Large-scale document regeneration and quality assurance can delay customer cover and create legal, privacy and conduct risks.

CBS-1.9

Policy Approval and Issuance

Simultaneous failure of primary and recovery policy-issuance environments

A major infrastructure fault disables the primary policy-administration environment. Failover is initiated, but the recovery environment cannot complete issuance because of an undetected configuration, authentication or database-replication dependency shared with the primary environment.

Primary infrastructure failure combined with recovery-environment dependency failure.

Policy numbers cannot be assigned reliably, approvals cannot be completed and issued policies cannot be recorded with certainty. Manual issuance options are limited by control and reconciliation requirements.

Completed applications cannot be converted into valid policies. The issuance backlog grows rapidly, customers may remain uncertain about whether cover is effective, and the CBS may breach its maximum disruption-duration tolerance.

CBS-1.10

Customer and Distribution Notification

Multiple notification channels fail while inaccurate status messages are released

A cyberattack or messaging-provider outage disables email, SMS and intermediary-portal notifications. A separate synchronisation defect causes some customers and agents to receive outdated or incorrect application and policy status information.

Third-party messaging outage combined with data-synchronisation failure.

MCIS cannot communicate status reliably through normal channels. The contact centre experiences a severe surge, while staff must verify each case before providing an update.

Customers may not know whether further information is required, whether a decision has been made or whether a policy has been issued. Misinformation may increase complaints, repeat submissions and operational workload, prolonging the CBS disruption.

CBS-1.11

Policy Record Administration

Database corruption creates inconsistent policy records across interconnected systems

A database fault or malicious data manipulation results in differences between issued policy records, contractual documents, premium information, customer-facing records and downstream administration data. Replication mechanisms transmit some corrupted records to the recovery environment.

Data-integrity compromise combined with replication of corrupted information.

MCIS cannot establish which record is authoritative. Processing must be restricted while records are restored and reconciled across multiple repositories.

Customers may receive incorrect policy information, billing may be affected, and downstream servicing may operate on unreliable data. Extended reconciliation or unrecoverable records could breach data-loss and service-restoration tolerances.

CBS-1.12

Exception and Referral Management

Referral workflow outage coincides with unavailability of key decision authorities

The referral queue becomes inaccessible during a disruption affecting remote access. Several senior underwriters and specialist referral authorities are unavailable, and an external expert or reinsurance contact cannot respond. Urgent, non-standard cases continue to enter the process.

Workflow and connectivity failure combined with concentration of specialist authority.

Exceptions cannot be routed, prioritised or assigned through normal processes. Case histories and previous referrals may be unavailable, while remaining staff approach their delegated authority limits.

High-risk applications may remain unresolved, be lost from oversight or face pressure for unauthorised approval. The growing exception queue can delay the wider underwriting and issuance service beyond tolerance.

CBS-1.13

Underwriting Quality Assurance and Compliance Monitoring

Monitoring and audit-data feeds fail while manual underwriting workarounds expand

During a wider technology disruption, quality dashboards, audit-log feeds and compliance reports become unavailable. Operations continue using manual workarounds, but second-line and quality-assurance teams cannot determine whether authority, evidence and pricing controls are operating effectively.

Monitoring and detection control failure during degraded operations.

Quality and compliance teams lose visibility over error rates, override activity, manual decisions and control exceptions. Assurance reviews fall behind as transaction volumes increase.

Control weaknesses may remain undetected while inaccurate or unauthorised policies progress. Continued processing without adequate oversight could amplify customer harm and allow the CBS to operate outside its risk and Impact Tolerance boundaries.

CBS-1.14

Underwriting Incident and Service Recovery Management

Compound ransomware event affects identity services, underwriting systems, policy records and recovery arrangements

A sophisticated ransomware attack compromises privileged credentials, encrypts underwriting applications and disrupts the document repository and policy-administration environment. The primary and recovery environments are both suspected of contamination. A critical third party is unavailable, workforce capacity is reduced, and customer enquiries increase sharply.

Privileged-access compromise followed by enterprise ransomware and simultaneous recovery-environment uncertainty.

Incident teams must contain the attack, determine trusted recovery points, activate controlled workarounds, prioritise applications, coordinate third parties and manage a growing service backlog.

The disruption affects every stage of CBS-1. Failure to contain, communicate, recover trusted data and clear accumulated work could cause a prolonged CBS outage, widespread customer harm and a clear breach of the Impact Tolerance.

 

Table 2: Dependencies, Cyber and ICT Integration and Proactive Risk Management

Sub-CBS Code

Name of Sub-CBS

Recommended Severe but Plausible Scenario

Scenario Description

Primary Disruption Trigger

Impact on Sub-CBS

Impact on Critical Business Service

CBS-1.1

Customer Application Intake

Simultaneous digital application-channel and telecommunications disruption during peak demand

A Distributed Denial-of-Service attack causes severe degradation of MCIS’s digital application channel while a telecommunications provider experiences a regional connectivity failure. Customers and intermediaries repeatedly resubmit applications after acknowledgements are delayed. Some submissions are duplicated, while others are retained temporarily on intermediary devices and transmitted later. Contact-centre demand rises sharply as customers seek confirmation.

Coordinated DDoS attack, amplified by regional telecommunications failure.

Applications cannot be submitted consistently. Intake personnel cannot confirm whether submissions were received, and duplicate, delayed and incomplete applications accumulate. Alternative intake channels become congested.

New business processing slows immediately. Uncertainty over application receipt propagates to validation, underwriting and customer communication. Prolonged disruption could prevent customers from obtaining timely protection and cause the CBS backlog and disruption duration to exceed tolerance.

CBS-1.2

Application Validation and Completeness Review

Failed technology change causes incomplete applications to pass automated validation

A software deployment incorrectly modifies mandatory-field and document-validation rules. Applications without required declarations, identity evidence or supporting documents are marked complete and transferred to underwriting. The defect remains undetected for several hours because the monitoring dashboard reports only successful system processing rather than validation quality.

Failed software deployment combined with ineffective control monitoring.

Validation outcomes become unreliable. Staff must identify the affected application population, suspend automated processing and conduct retrospective manual validation.

Invalid applications progress into customer profiling, underwriting, compliance screening and pricing. The need to recall and reprocess cases creates delay, customer confusion and a growing backlog that may threaten the CBS Impact Tolerance.

CBS-1.3

Customer Risk Profiling

Risk-profiling data feed becomes stale while automated processing continues

A critical external or internal data feed stops updating, but the interface continues returning technically successful responses. Customer risk profiles are therefore produced using outdated or incomplete attributes. The defect affects selected customer segments and is not immediately apparent from individual case reviews.

Silent data-feed interruption or data-freshness control failure.

Customer profiles may be understated, overstated or inconsistent. Automated case-routing and underwriting requirements become unreliable.

Incorrect profiling can send cases through inappropriate underwriting paths, weaken fraud and compliance controls, cause unsuitable decisions and require large-scale retrospective review. This can delay policy issuance and potentially create customer or regulatory harm.

CBS-1.4

Medical and Financial Underwriting Assessment

Critical medical-information provider outage combined with loss of specialist underwriters

A cyber incident disrupts a provider of medical evidence at the same time that a regional health emergency or workforce event reduces the availability of experienced medical and financial underwriters. Applications requiring specialist assessment rise substantially, while alternative providers have limited capacity.

Critical third-party cyber disruption combined with specialist workforce loss.

Medical reports, financial evidence and expert assessments cannot be obtained or completed within normal timeframes. The specialist-case queue grows rapidly.

Policy decisions for higher-risk and complex customers are delayed. Pressure may develop to weaken evidence requirements or rely on unapproved assumptions. Prolonged delay could cause customer harm and breach service-duration or backlog tolerances.

CBS-1.5

Fraud Screening and Compliance Verification

Compromise of a critical screening provider produces unreliable verification results

A third-party fraud, identity or compliance-screening provider reports unauthorised privileged access. Screening responses received before the incident may have been altered, suppressed or fabricated. At the same time, attackers submit manipulated applications designed to exploit the disruption.

Cyber compromise of a critical third-party screening service.

MCIS cannot rely on recent screening outcomes. New screening requests may be unavailable, while completed cases require revalidation. Suspicious applications must be quarantined.

Policies cannot be issued safely until required screening has been completed or repeated. A large affected population could suspend downstream decision-making and policy issuance, threatening the Impact Tolerance and creating financial crime and compliance exposure.

CBS-1.6

Underwriting Decision Management

Ransomware disrupts the underwriting workflow and corrupts decision-status records

Ransomware encrypts the underwriting workflow environment and compromises part of the decision database. After initial restoration, some applications show conflicting approval, decline or referral statuses. Audit histories are incomplete and access credentials may have been compromised.

Ransomware combined with database-integrity and identity compromise.

Underwriters cannot retrieve case histories reliably or confirm whether decisions were authorised and completed. Manual decision-making must be introduced under degraded conditions.

Policy issuance must be restricted until decisions are trusted and reconciled. A prolonged inability to make or validate underwriting decisions could become the principal driver of a CBS Impact Tolerance breach.

CBS-1.7

Premium Calculation and Pricing Confirmation

Pricing-engine change produces materially incorrect premiums

An incorrect pricing parameter is deployed to the production environment. The engine remains available and processes transactions normally, but premiums are understated or overstated for selected products or customer profiles. The issue is discovered after quotations and some policy documents have been generated.

Failed technology change and inadequate pricing-data validation.

Premium calculations cannot be trusted. Affected applications must be identified, suspended, recalculated and reviewed by appropriate product or actuarial authorities.

Incorrect premiums may result in financial loss, unfair customer outcomes, policy rework and delayed issuance. If the affected population is material, correction and customer communication requirements may cause the CBS to exceed its tolerance.

CBS-1.8

Policy Documentation Preparation

Malware or template corruption produces inaccurate contractual documents

Malware or an unauthorised template change modifies policy clauses, benefit schedules or customer-data mapping within the document-generation process. Documents appear complete but contain missing exclusions, incorrect benefits or customer information belonging to another application.

Document-template compromise, malware or unauthorised privileged change.

Policy documents cannot be relied upon. Generation must be suspended while approved templates and data mappings are restored and affected documents are identified.

Even where underwriting and pricing are complete, policies cannot be issued safely. Large-scale document regeneration and quality assurance can delay customer cover and create legal, privacy and conduct risks.

CBS-1.9

Policy Approval and Issuance

Simultaneous failure of primary and recovery policy-issuance environments

A major infrastructure fault disables the primary policy-administration environment. Failover is initiated, but the recovery environment cannot complete issuance because of an undetected configuration, authentication or database-replication dependency shared with the primary environment.

Primary infrastructure failure combined with recovery-environment dependency failure.

Policy numbers cannot be assigned reliably, approvals cannot be completed and issued policies cannot be recorded with certainty. Manual issuance options are limited by control and reconciliation requirements.

Completed applications cannot be converted into valid policies. The issuance backlog grows rapidly, customers may remain uncertain about whether cover is effective, and the CBS may breach its maximum disruption-duration tolerance.

CBS-1.10

Customer and Distribution Notification

Multiple notification channels fail while inaccurate status messages are released

A cyberattack or messaging-provider outage disables email, SMS and intermediary-portal notifications. A separate synchronisation defect causes some customers and agents to receive outdated or incorrect application and policy status information.

Third-party messaging outage combined with data-synchronisation failure.

MCIS cannot communicate status reliably through normal channels. The contact centre experiences a severe surge, while staff must verify each case before providing an update.

Customers may not know whether further information is required, whether a decision has been made or whether a policy has been issued. Misinformation may increase complaints, repeat submissions and operational workload, prolonging the CBS disruption.

CBS-1.11

Policy Record Administration

Database corruption creates inconsistent policy records across interconnected systems

A database fault or malicious data manipulation results in differences between issued policy records, contractual documents, premium information, customer-facing records and downstream administration data. Replication mechanisms transmit some corrupted records to the recovery environment.

Data-integrity compromise combined with replication of corrupted information.

MCIS cannot establish which record is authoritative. Processing must be restricted while records are restored and reconciled across multiple repositories.

Customers may receive incorrect policy information, billing may be affected, and downstream servicing may operate on unreliable data. Extended reconciliation or unrecoverable records could breach data-loss and service-restoration tolerances.

CBS-1.12

Exception and Referral Management

Referral workflow outage coincides with unavailability of key decision authorities

The referral queue becomes inaccessible during a disruption affecting remote access. Several senior underwriters and specialist referral authorities are unavailable, and an external expert or reinsurance contact cannot respond. Urgent, non-standard cases continue to enter the process.

Workflow and connectivity failure combined with concentration of specialist authority.

Exceptions cannot be routed, prioritised or assigned through normal processes. Case histories and previous referrals may be unavailable, while remaining staff approach their delegated authority limits.

High-risk applications may remain unresolved, be lost from oversight or face pressure for unauthorised approval. The growing exception queue can delay the wider underwriting and issuance service beyond tolerance.

CBS-1.13

Underwriting Quality Assurance and Compliance Monitoring

Monitoring and audit-data feeds fail while manual underwriting workarounds expand

During a wider technology disruption, quality dashboards, audit-log feeds and compliance reports become unavailable. Operations continue using manual workarounds, but second-line and quality-assurance teams cannot determine whether authority, evidence and pricing controls are operating effectively.

Monitoring and detection control failure during degraded operations.

Quality and compliance teams lose visibility over error rates, override activity, manual decisions and control exceptions. Assurance reviews fall behind as transaction volumes increase.

Control weaknesses may remain undetected while inaccurate or unauthorised policies progress. Continued processing without adequate oversight could amplify customer harm and allow the CBS to operate outside its risk and Impact Tolerance boundaries.

CBS-1.14

Underwriting Incident and Service Recovery Management

Compound ransomware event affects identity services, underwriting systems, policy records and recovery arrangements

A sophisticated ransomware attack compromises privileged credentials, encrypts underwriting applications and disrupts the document repository and policy-administration environment. The primary and recovery environments are both suspected of contamination. A critical third party is unavailable, workforce capacity is reduced and customer enquiries increase sharply.

Privileged-access compromise followed by enterprise ransomware and simultaneous recovery-environment uncertainty.

Incident teams must contain the attack, determine trusted recovery points, activate controlled workarounds, prioritise applications, coordinate third parties and manage a growing service backlog.

The disruption affects every stage of CBS-1. Failure to contain, communicate, recover trusted data and clear accumulated work could cause a prolonged CBS outage, widespread customer harm and a clear breach of the Impact Tolerance.

 

Existing and Expected Resilience Measures

The scenario catalogue assumes that MCIS would maintain a combination of preventive, detective, response, recovery and adaptive resilience measures.

These measures should not be presumed effective merely because they are documented.

Their effectiveness should be established through testing, operational evidence and independent review.

 

Preventive measures

Preventive measures should reduce the probability that a disruption occurs or limit its initial severity. Relevant controls include:

  • Secure software-development and change-control practices;
  • Segregation of duties for underwriting, pricing and template changes;
  • Privileged-access management and strong authentication;
  • DDoS protection and diversified connectivity;
  • Data-validation and data-freshness controls;
  • Capacity planning and transaction-volume monitoring;
  • Third-party due diligence and contractual continuity obligations;
  • Workforce succession and cross-training;
  • Secure configuration and vulnerability management;
  • Architecture designed to reduce technology concentration.

 

Detective measures

Detective capabilities should provide timely indication that a process is unavailable, degraded or producing incorrect outcomes. These include:

  • Cybersecurity monitoring and alerting;
  • API, network, infrastructure and application monitoring;
  • Pricing and underwriting outcome analytics;
  • Data-integrity and reconciliation controls;
  • Application backlog and ageing indicators;
  • Screening-result anomaly detection;
  • Template and file-integrity monitoring;
  • Quality sampling and compliance surveillance;
  • Customer complaint and contact-volume monitoring;
  • Third-party incident notification arrangements.

 

Response measures

Response measures should enable MCIS to contain the disruption, establish ownership and protect customers while the cause is being investigated.

These include:

  • Cyber and ICT incident-response procedures;
  • CBS-level escalation criteria;
  • Crisis Management activation;
  • Business workaround procedures;
  • Application and policy prioritisation;
  • Controlled suspension of unsafe processing;
  • Alternative communication channels;
  • Third-party escalation and coordination;
  • Regulatory and stakeholder communication protocols;
  • Customer-harm assessment and mitigation.

 

Recovery measures

Recovery measures should restore trusted operations rather than merely make technology available. They include:

  • Disaster recovery and technology failover;
  • Immutable and recoverable backups;
  • Clean-environment cyber recovery;
  • Data restoration and cross-system reconciliation;
  • Controlled reactivation of automated processing;
  • Alternative third-party arrangements;
  • Workforce relocation or remote-working capability;
  • Backlog-clearance capacity;
  • Post-restoration quality assurance;
  • Formal business acceptance before service normalisation.

 

Adaptive resilience measures

Adaptive resilience measures should ensure that lessons from incidents and tests improve future capability. They include:

  • Updating dependency maps;
  • Revising scenarios and test assumptions;
  • Strengthening tolerance indicators;
  • Removing newly identified single points of dependency;
  • Funding resilience improvements;
  • Revising third-party arrangements;
  • Updating authority and succession structures;
  • Retesting material remediation;
  • Reporting unresolved exposure to senior management and the Board Risk Committee.
 

End-to-End Scenario Families

Although the tables assess each Sub-CBS separately, MCIS should avoid testing the scenarios as 14 unrelated exercises.

The following integrated scenario families would provide a more meaningful end-to-end assessment.

 

Scenario Family 1: Digital Application and Underwriting Disruption

This family combines:

  • CBS-1.1 Customer Application Intake;
  • CBS-1.2 Application Validation and Completeness Review;
  • CBS-1.3 Customer Risk Profiling;
  • CBS-1.4 Medical and Financial Underwriting Assessment;
  • CBS-1.5 Fraud Screening and Compliance Verification; and
  • CBS-1.6 Underwriting Decision Management.

A compound scenario could begin with a DDoS attack, progress into failed application acknowledgements, introduce a stale risk-profiling feed and subsequently remove a critical screening provider.

The scenario would test whether MCIS can receive, validate and assess applications safely without exceeding the maximum backlog or disruption duration.

 

Scenario Family 2: Data Integrity Compromise During Policy Issuance

This family combines:

  • CBS-1.6 Underwriting Decision Management;
  • CBS-1.7 Premium Calculation and Pricing Confirmation;
  • CBS-1.8 Policy Documentation Preparation;
  • CBS-1.9 Policy Approval and Issuance;
  • CBS-1.10 Customer and Distribution Notification;
  • CBS-1.11 Policy Record Administration; and
  • CBS-1.13 Underwriting Quality Assurance and Compliance Monitoring.

The scenario could involve a compromised privileged account altering pricing parameters and document templates while monitoring feeds are unavailable.

It would test MCIS’s ability to detect incorrect outcomes, suspend processing, identify the affected population and restore trusted decisions, premiums, documents and policy records.

 

Scenario Family 3: Third-Party and Specialist Workforce Concentration

This family combines:

  • CBS-1.3 Customer Risk Profiling;
  • CBS-1.4 Medical and Financial Underwriting Assessment;
  • CBS-1.5 Fraud Screening and Compliance Verification;
  • CBS-1.6 Underwriting Decision Management; and
  • CBS-1.12 Exception and Referral Management.

The scenario could involve simultaneous unavailability of medical, screening and referral support, compounded by the absence of senior specialist underwriters.

It would test alternative suppliers, succession arrangements, manual controls and decision-authority limits.

 

Scenario Family 4: Enterprise Ransomware and CBS Recovery

This family is led through CBS-1.14 and incorporates all Sub-CBS processes. It should test:

  • Cyber detection and containment;
  • Identity and privileged-access recovery;
  • Crisis governance;
  • Availability of application and policy data;
  • Alternative intake and manual workarounds;
  • Third-party coordination;
  • Recovery of primary and secondary environments;
  • Restoration of trusted policy records;
  • Customer and distributor communication;
  • Backlog prioritisation and clearance;
  • Assessment against the CBS Impact Tolerance.

 

Scenario Selection and Prioritisation

MCIS should prioritise scenarios based on more than likelihood alone.

A low-frequency event may still warrant priority where it could cause severe customer harm or expose a material concentration.

Scenario prioritisation should consider:

 

  1. Potential to breach the CBS Impact Tolerance;
  2. Scale and duration of customer impact;
  3. Number of Sub-CBS processes affected;
  4. Dependency concentration;
  5. Degree of reliance on a single technology or provider;
  6. Difficulty of detecting the disruption;
  7. Uncertainty over data integrity;
  8. Availability of controlled workarounds;
  9. Recovery complexity;
  10. Regulatory, legal and conduct consequences;
  11. Ability to clear the post-disruption backlog;
  12. Previous incidents, tests, near misses and audit findings.

Each approved scenario should have a documented rationale explaining why it is severe, plausible, and relevant to CBS-1.

 

Regulatory Considerations for a Malaysian Financial Services Institution

Regulatory themes requiring confirmation against the BNM Discussion Paper

 

Identification of Critical Business Services

The proposed approach is that a financial institution should identify services whose disruption could cause intolerable harm to customers, the institution or the wider financial system.

For MCIS, CBS-1 should be considered as an end-to-end service rather than a collection of underwriting departments or systems.

Severe but Plausible Scenarios should therefore assess whether customers can obtain appropriately underwritten and valid insurance protection.

Implementation recommendation:

MCIS should document why CBS-1 is critical, identify the customer and institutional harms associated with disruption and link every scenario to those outcomes.

 

Establishment and use of Impact Tolerance

Impact Tolerance should provide the boundary against which resilience is assessed. It should not be replaced by system recovery targets, supplier service levels or departmental recovery objectives.

Implementation recommendation:

MCIS should define measurable tolerances covering disruption duration, affected customers, backlog, data integrity, incorrect policy outcomes and customer harm.

Each scenario should be designed to approach or exceed at least one boundary.

 

Mapping interconnections and interdependencies

An FSI should understand the resources necessary to deliver each Critical Business Service, including people, processes, technology, data, facilities, third parties and external infrastructure.

Implementation recommendation:

The CBS-1 dependency map should be used directly in scenario design.

Scenarios should target known concentrations and also be capable of revealing previously unidentified dependencies.

 

Severe but Plausible Scenarios and Scenario Testing

Scenario testing should use sufficiently severe but credible conditions to determine whether the institution can remain within its Impact Tolerance.

Implementation recommendation:

MCIS should avoid scenarios where all contingency arrangements operate successfully.

Scenarios should include delayed detection, unavailable specialists, failed workarounds, degraded recovery environments and simultaneous third-party disruption.

 

Cyber resilience and Technology and ICT Risk

Cyber and ICT disruption can be a trigger, contributing factor or amplifier of service failure. The relevant question is not only whether systems recover, but whether the Critical Business Service continues safely and accurately.

Implementation recommendation:

Cyber scenarios should be embedded within business-service scenarios and include identity compromise, data corruption, monitoring failure, third-party cyber incidents and uncertainty over trusted recovery points.

 

Third-party dependencies

Reliance on third parties does not remove the financial institution’s accountability for the service outcome.

Implementation recommendation:

MCIS should identify critical providers supporting medical evidence, screening, communications, connectivity and ICT operations.

Relevant providers should participate in scenario tests, and contingency arrangements should be evaluated against the CBS Impact Tolerance.

 

Business continuity, Crisis Management and recovery capability

Operational Resilience should bring together existing disciplines rather than replace them. Business continuity, disaster recovery, Cyber Incident Response and Crisis Management should collectively support the service outcome.

Implementation recommendation:

MCIS should test whether these capabilities operate together under a common CBS-level objective, with clear escalation, decision authority and customer-impact monitoring.

 

Governance and senior-management oversight

Senior management and the Board or Board Risk Committee should understand material vulnerabilities, potential tolerance breaches and resilience investment needs.

Implementation recommendation:

Management should approve the scenario framework, review scenario outcomes, challenge untested assumptions and monitor remediation to verified closure.

 

Proactive risk management

Scenario identification should take place before an incident and should lead to action where a credible vulnerability is identified.

Implementation recommendation:

MCIS should not wait for scenario execution before addressing obvious weaknesses.

Dependency concentrations, untested recovery arrangements, absent alternatives and control gaps identified during scenario design should enter the remediation process immediately.

 

Continuous improvement

Scenario testing should produce lessons, remediation and better resilience capability.

Implementation recommendation:

Findings should be incorporated into CBS mapping, risk assessments, recovery strategies, third-party arrangements, training, investment and future scenario design.

 

Illustrative scenarios for a Malaysian FSI

Subject to confirmation against the original BNM Discussion Paper, the following scenario types are appropriate for a Malaysian FSI:

  • Prolonged disruption of a critical digital financial service;
  • A cyber incident affecting multiple customer and intermediary channels;
  • Simultaneous failure of primary and recovery technology environments;
  • Critical cloud, technology or business-service provider disruption;
  • Data-integrity compromise affecting customer or policy transactions;
  • Widespread telecommunications, utility or infrastructure disruption;
  • Loss of critical personnel and specialist expertise;
  • Failure of critical interconnections with external institutions;
  • Cascading disruption across several Critical Business Services;
  • A compound event combining cyberattack, workforce loss and third-party failure.

These examples should be treated as implementation illustrations unless the wording and attribution are verified directly in the BNM document.

 

Governance of the Severe but Plausible Scenario Framework

MCIS should maintain a documented scenario framework that includes:

  • Scenario title and reference number;
  • Critical Business Service and Sub-CBS processes affected;
  • Scenario rationale;
  • Source of threat and plausibility evidence;
  • Starting conditions and assumptions;
  • Primary trigger;
  • Contributing and amplifying events;
  • Affected customers and stakeholders;
  • Disruption pathway;
  • Dependencies challenged;
  • Relevant Cyber and ICT Risks;
  • Impact Tolerance boundaries threatened;
  • Existing controls and recovery capabilities;
  • Known vulnerabilities;
  • Scenario-testing objective;
  • Management observations required;
  • Proactive risk treatments;
  • Scenario owner and approving authority;
  • Review and refresh date.

The scenario catalogue should be reviewed following:

  • A material incident or near miss;
  • A significant technology or business change;
  • Introduction of a critical third party;
  • Merger, acquisition or major operating-model change;
  • Identification of a new cyber threat;
  • Change in customer channels;
  • Revision of the CBS Impact Tolerance;
  • Significant regulatory development;
  • Completion of a scenario test that reveals new dependencies.

 

Evidence of Proactive Operational Resilience Management

MCIS should retain evidence demonstrating that scenario identification leads to measurable action. Relevant evidence may include:

  • Approved scenario risk assessments;
  • Current CBS and dependency maps;
  • Cyber threat and ICT risk assessments;
  • Architecture resilience reviews;
  • Third-party criticality and assurance assessments;
  • Approved continuity and recovery strategies;
  • Failover and disaster recovery reports;
  • Data-integrity and reconciliation testing;
  • Workforce succession and competency records;
  • Scenario test reports;
  • Crisis and Cyber Incident Response exercise reports;
  • Lessons-identified registers;
  • Approved remediation plans;
  • Investment and budget approvals;
  • Management committee minutes;
  • Board or Board Risk Committee reporting;
  • Independent assurance and Internal Audit findings;
  • Retest results;
  • Formal closure evidence.

Evidence should demonstrate not only that an action was approved, but also that it was implemented, tested where appropriate and independently challenged before closure.

 
 
Banner [Summing] [OR] [E3] Perform Scenario Testing

Severe but Plausible Scenarios are essential to understanding whether CBS-1 Policy Issuance and Underwriting can continue within its defined Impact Tolerance during significant disruption.

Assessing scenarios at the Sub-CBS level enables MCIS to identify where failure may originate, how disruption may propagate, and where customer harm, data uncertainty, or an excessive service backlog could arise.

Combining the Sub-CBS scenarios into integrated end-to-end exercises provides a more reliable assessment than isolated system or departmental testing.

Cyber and ICT Risks must be incorporated directly into scenario design because cyberattack, system failure, identity compromise, data corruption, failed change and third-party technology disruption can initiate or amplify operational failure throughout the policy issuance journey.

Specific proactive actions—supported by auditable implementation evidence—demonstrate that MCIS is addressing vulnerabilities before they result in intolerable disruption.

The scenario catalogue should therefore form the foundation of MCIS’s Operational Resilience scenario-testing programme.

Test findings should be translated into identified lessons, accountable remediation, risk treatment, resilience investment, updated dependency mapping, and continuing improvement.

Material weaknesses should remain open until MCIS has verified that the relevant capability has been implemented and can support CBS-1 within its approved Impact Tolerance.

 

[OR] [MCIS] [34 Banner] Implementing Operational Resilience at MCIS Insurance

eBook 3: Starting Your OR Implementation
CBS-1 Policy Issuance and Underwriting
CBS-1 DP CBS-1 MII CBS-1 ITo CBS-1 SbPS CBS-1 ST
[OR] [MCIS] [E3] [CBS] [1] [DP] Policy Issuance and Underwriting [OR] [MCIS] [E3] [CBS] [1] [MII] Policy Issuance and Underwriting [OR] [MCIS] [E3] [CBS] [1] [ITo] Policy Issuance and Underwriting [OR] [MCIS] [E3] [CBS] [1] [SbPS] Policy Issuance and Underwriting [OR] [MCIS] [E3] [CBS] [1] [ST] Policy Issuance and Underwriting

New call-to-actionNew call-to-action

Gain Competency: For organisations looking to accelerate their journey, BCM Institute’s training and certification programs, including the OR-5000 Operational Resilience Expert Implementer course, provide in-depth insights and practical toolkits for effectively embedding this model.

 

 

More Information About OR-5000 [OR-5] or OR-300 [OR-3]

To learn more about the course and schedule, click the buttons below for the OR-300 Operational Resilience Implementer and OR-5000 Operational Resilience Expert Implementer courses.

BL-OR-3 Register Now BL-OR-3_Tell Me More BL-OR-3_View Schedule
BL-OR-5_Register Now BL-OR-5_Tell Me More  [BL-OR] [3-4-5] View Schedule
[BL-OR] [3] FAQ OR-300

If you have any questions, click to contact us.Email to Sales Team [BCM Institute]

FAQ BL-OR-5 OR-5000
OR Implementer Landing Page

New call-to-action

New call-to-action

 

Your Comments Here:

 

CTA Banner_OR

CTA Banner_ORA

CTA Banner_BCM

CTA Banner_ITDR

CTA Banner_CM