---
title: [OR] [MAS] [E3] [C8] Emerging Risks and Future Trends
description: [OR] [MAS] [E2] [C8] Challenges in Implementation
image: https://blog.bcm-institute.org/hubfs/MAS%20Graphic%20Folder/MAS%20E3%20Morepost/%5BOR%5D%20%5BMAS%5D%20%5BE3%5D%20%5BC8%5D%20Emerging%20Risks%20and%20Future%20Trends.jpg
---
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###### Achieving Operational Resilience in Singapore’s Financial Sector: A Practical Guide to MAS Compliance and Implementation
![BB OR \[D\] 6](https://blog.bcm-institute.org/hs-fs/hubfs/BB%20OR%20%5BAi%20Gen%20Blog%20Photo%5D/OR%20Pictures%20A/BB%20OR%20Folder%20D/BB%20OR%20%5BD%5D%206.jpg?width=2000&height=1333&name=BB%20OR%20%5BD%5D%206.jpg "BB OR [D] 6")
# \[OR\] \[MAS\] \[E3\] \[C8\] Emerging Risks and Future Trends
[](https://cta-redirect.hubspot.com/cta/redirect/3893111/23a20024-f0ef-49c9-b977-9368b9e21491)
Operational resilience is continuously shaped by emerging technologies and evolving ecosystem dependencies.
As financial institutions in Singapore accelerate digital transformation, the risk landscape is becoming more **complex, interconnected, and technology-driven**.
The Monetary Authority of Singapore has highlighted that advancements such as artificial intelligence (AI), cloud computing, and quantum technologies are introducing **new forms of systemic and operational risk**, requiring enhanced governance, testing, and resilience capabilities.
This chapter explores three critical emerging risk domains: AI and automation risks, quantum computing implications, and the increasing complexity of third-party ecosystems.
[](https://cta-redirect.hubspot.com/cta/redirect/3893111/af4e7abf-3775-4632-811f-7d71e11f8bca)
[Moh Heng Goh](https://blog.bcm-institute.org/ebook-or/author/moh-heng-goh) Apr 29, 2026
###### Operational Resilience Certified Planner-Specialist-Expert
### [](https://cta-redirect.hubspot.com/cta/redirect/3893111/97502c2e-fa28-4958-9771-0b307990443a)
### eBook 3: Chapter 8
### **Emerging Risks and Future Trends**
#### **Introduction**
Operational resilience is continuously shaped by emerging technologies and evolving ecosystem dependencies. As financial institutions in Singapore accelerate digital transformation, the risk landscape is becoming more **complex, interconnected, and technology-driven**.[![\[OR\] \[MAS\] \[E3\] \[C8\] Emerging Risks and Future Trends](https://no-cache.hubspot.com/cta/default/3893111/17b9540f-873a-4b75-8187-b86d5e09bdf0.png)](https://cta-redirect.hubspot.com/cta/redirect/3893111/17b9540f-873a-4b75-8187-b86d5e09bdf0)
The Monetary Authority of Singapore has highlighted that advancements such as artificial intelligence (AI), cloud computing, and quantum technologies are introducing **new forms of systemic and operational risk**, requiring enhanced governance, testing, and resilience capabilities.
This chapter explores three critical emerging risk domains: AI and automation risks, quantum computing implications, and the increasing complexity of third-party ecosystems.
#### **AI and Automation Risks**
##### **The Rise of AI in Financial Services**
Artificial intelligence is rapidly being embedded into core financial services, including:
- Fraud detection and transaction monitoring
- Credit risk assessment
- Customer service automation (e.g., chatbots, GenAI tools)
- Algorithmic trading and decision-making
While AI enhances efficiency and innovation, MAS recognises that it introduces **new categories of operational, model, and governance risks**.
##### **Key AI-Related Risks**
**1. Model Risk and Decision Errors**
AI models may produce incorrect or biased outputs, leading to financial loss or regulatory breaches.
**2. Lack of Explainability**
Complex AI models (especially generative AI) may lack transparency, making it difficult to justify decisions.
**3. Data Integrity and Quality Risks**
AI systems rely heavily on data; poor data quality can compromise outputs and decision-making.
**4. Automation Risk**
Over-reliance on automated processes may reduce human oversight, increasing the impact of failures.
**5. Third-Party AI Dependencies**
Many AI capabilities are sourced externally, creating additional third-party risks and reduced control.
##### **MAS Expectations**
MAS has issued AI risk management guidance requiring financial institutions to:
- Establish **AI governance frameworks and accountability structures**
- Maintain an **inventory of AI use cases**
- Implement **lifecycle controls covering design, deployment, and monitoring**
- Apply **proportionate controls based on risk materiality**
##### **Implications for Operational Resilience**
AI introduces **non-deterministic behaviour**, meaning outcomes may not always be predictable. This requires:
- Enhanced **testing and validation frameworks**
- Continuous **monitoring of AI outputs and performance**
- Integration of AI risks into **scenario testing and resilience planning**
#### **Quantum Computing Implications**
##### **The Emerging Quantum Threat**
Quantum computing, while still evolving, has the potential to **disrupt current cryptographic systems** that underpin financial transactions and data security.
MAS has identified quantum readiness as an emerging priority, encouraging institutions to prepare for **quantum-safe resilience strategies**.
##### **Key Risks of Quantum Computing**
**1. Cryptographic Vulnerability**
Quantum computers could break widely used encryption algorithms, exposing sensitive financial data.
**2. Data Security Risks**
Historical encrypted data may become vulnerable once quantum capabilities mature (“harvest now, decrypt later” risk).
**3. System Integrity Risks**
Critical systems relying on current cryptographic standards may become insecure.
##### **Implications for Financial Institutions**
Financial institutions must begin preparing for:
- **Quantum-safe cryptography adoption**
- **Crypto-agility** (ability to switch encryption methods quickly)
- **Long-term data protection strategies**
##### **Operational Resilience Considerations**
Quantum risk is a **low-probability, high-impact threat**, requiring:
- Forward-looking **scenario planning and testing**
- Integration into **long-term resilience strategy**
- Collaboration with regulators and industry bodies
#### **Increasing Third-Party Ecosystem Risk**
##### **Expanding Digital Ecosystems**
Modern financial services operate within a complex ecosystem involving:
- Cloud service providers
- Fintech partners
- Payment networks
- Data providers
- AI and analytics vendors
MAS highlights that increasing reliance on third parties, especially cloud providers, introduces **new dependencies and systemic risks**.
##### **Key Third-Party Risk Trends**
**1. Concentration Risk**
Dependence on a small number of large providers (e.g., global cloud platforms) creates systemic vulnerabilities.
**2. Multi-Layered Dependencies**
Third-party providers often rely on subcontractors (fourth parties), reducing visibility and control.
**3. Cross-Border Risk**
Global service providers introduce jurisdictional and regulatory complexities.
**4. Multi-Party Incident Complexity**
Disruptions increasingly involve multiple organisations, requiring coordinated response.
MAS expects financial institutions to develop **multi-party incident response capabilities** and maintain strong oversight over outsourced services.
##### **Accountability and Governance**
A key MAS principle is that:
**Outsourcing does not dilute accountability**
Financial institutions remain fully responsible for:
- Service delivery outcomes
- Risk management and controls
- Customer impact
##### **Implications for Operational Resilience**
To manage ecosystem risks, institutions must:
- Strengthen **third-party risk management frameworks**
- Conduct **end-to-end dependency mapping**
- Include third parties in **scenario testing exercises**
- Develop **coordinated incident response mechanisms**
#### **Convergence of Emerging Risks**
##### **Interconnected Risk Landscape**
A defining feature of future operational resilience is the **convergence of risks**:
- AI systems hosted on **cloud platforms**
- Cloud providers relying on **global infrastructure networks**
- AI models integrated with **third-party data sources**
This creates **complex, interdependent risk chains**, where a single failure can trigger cascading disruptions.
##### **MAS Perspective**
MAS has emphasised that financial institutions must:
- Adopt **holistic and forward-looking risk management approaches**
- Strengthen **technology governance and resilience capabilities**
- Prepare for **cross-border and multi-party disruptions**
#### **Preparing for the Future**
##### **Strategic Priorities for Financial Institutions**
To address emerging risks, institutions should:
**1. Strengthen Technology Governance**
- Enhance oversight of AI, cloud, and emerging technologies
- Ensure accountability at Board and senior management levels
**2. Enhance Scenario Testing**
- Incorporate AI failures, cloud outages, and quantum risks into scenarios
- Test multi-event and multi-party disruptions
**3. Invest in Resilience Capabilities**
- Build cyber resilience and advanced monitoring systems
- Develop quantum-safe strategies
**4. Strengthen Ecosystem Collaboration**
- Engage with regulators, industry groups, and third-party providers
- Participate in sector-wide resilience initiatives
**[](https://cta-redirect.hubspot.com/cta/redirect/3893111/5404effa-ac11-44ba-a782-31a19cc7ef69)**
Emerging risks such as AI, quantum computing, and complex third-party ecosystems are reshaping the operational resilience landscape in Singapore’s financial sector.
Guided by the expectations of the Monetary Authority of Singapore, financial institutions must adopt a **forward-looking, technology-aware approach** to resilience.
By understanding these evolving risks and proactively integrating them into governance, testing, and continuous improvement frameworks, organisations can ensure that resilience remains **robust, adaptive, and future-ready**.
Ultimately, operational resilience is no longer just about responding to known risks—it is about preparing for **uncertainty in an increasingly digital and interconnected world**.
[](https://cta-redirect.hubspot.com/cta/redirect/3893111/2bb354c3-7a30-4ef1-89c2-e67a16317fda)
| ** eBook 1** | **C1** | **C2** | **C3** | **C4** |
| --- | --- | --- | --- | --- |
| [![\[OR\] \[MAS\] \[E1\] ebook Cover](https://no-cache.hubspot.com/cta/default/3893111/727b3faf-7a0f-4839-a05e-ba6681ad3b49.png)](https://cta-redirect.hubspot.com/cta/redirect/3893111/727b3faf-7a0f-4839-a05e-ba6681ad3b49) | [![\[OR\] \[MAS\] \[E3\] \[C1\] Importance of Testing and Exercising](https://no-cache.hubspot.com/cta/default/3893111/0df0eeee-fc66-4b11-ab38-66d79aaec491.png)](https://cta-redirect.hubspot.com/cta/redirect/3893111/0df0eeee-fc66-4b11-ab38-66d79aaec491) | [![\[OR\] \[MAS\] \[E3\] \[C2\] Scenario Design – Severe but Plausible Events](https://no-cache.hubspot.com/cta/default/3893111/56071084-60f0-45a7-aa3f-721cacd9af2e.png)](https://cta-redirect.hubspot.com/cta/redirect/3893111/56071084-60f0-45a7-aa3f-721cacd9af2e) | [![\[OR\] \[MAS\] \[E3\] \[C3\] Scenario Testing of Critical Business Services](https://no-cache.hubspot.com/cta/default/3893111/ac943830-33e3-43e8-91af-cbb5d124dc59.png)](https://cta-redirect.hubspot.com/cta/redirect/3893111/ac943830-33e3-43e8-91af-cbb5d124dc59) | [![\[OR\] \[MAS\] \[E3\] \[C4\] Incident and Crisis Management Exercises](https://no-cache.hubspot.com/cta/default/3893111/a11d0538-1b7c-43d3-85b9-8e083acda084.png)](https://cta-redirect.hubspot.com/cta/redirect/3893111/a11d0538-1b7c-43d3-85b9-8e083acda084) |
| ** eBook 2** | **C5** | **C6** | **C7** | **C8** |
| [![\[OR\] \[MAS\] \[E2\] ebook Cover](https://no-cache.hubspot.com/cta/default/3893111/29bf59e4-024e-4ce8-9af2-7d831cefaf6b.png)](https://cta-redirect.hubspot.com/cta/redirect/3893111/29bf59e4-024e-4ce8-9af2-7d831cefaf6b) | [![\[OR\] \[MAS\] \[E3\] \[C5\] Metrics and Performance Measurement](https://no-cache.hubspot.com/cta/default/3893111/acfb7134-43bc-4f8b-a60e-91b81188e7df.png)](https://cta-redirect.hubspot.com/cta/redirect/3893111/acfb7134-43bc-4f8b-a60e-91b81188e7df) | [![\[OR\] \[MAS\] \[E3\] \[C6\] Audit and Regulatory Compliance](https://no-cache.hubspot.com/cta/default/3893111/0f90a2af-ea7b-4663-a226-3e6fd7a82d08.png)](https://cta-redirect.hubspot.com/cta/redirect/3893111/0f90a2af-ea7b-4663-a226-3e6fd7a82d08) | [![\[OR\] \[MAS\] \[E3\] \[C7\] Continuous Improvement Framework](https://no-cache.hubspot.com/cta/default/3893111/d422f957-18d1-44fb-9ecb-d184979350ff.png)](https://cta-redirect.hubspot.com/cta/redirect/3893111/d422f957-18d1-44fb-9ecb-d184979350ff) | [![\[OR\] \[MAS\] \[E3\] \[C8\] Emerging Risks and Future Trends](https://no-cache.hubspot.com/cta/default/3893111/17b9540f-873a-4b75-8187-b86d5e09bdf0.png)](https://cta-redirect.hubspot.com/cta/redirect/3893111/17b9540f-873a-4b75-8187-b86d5e09bdf0) |
| ** eBook 3** | **C9** | **C10** | **C11** | **C12** |
| [![\[OR\] \[MAS\] \[E3\] ebook Cover](https://no-cache.hubspot.com/cta/default/3893111/3e58aabc-cc9d-4e0e-8524-4e3229e46cce.png)](https://cta-redirect.hubspot.com/cta/redirect/3893111/3e58aabc-cc9d-4e0e-8524-4e3229e46cce) | [![\[OR\] \[MAS\] \[E3\] \[C9\] Challenges in Sustaining Resilience](https://no-cache.hubspot.com/cta/default/3893111/a7283d2e-7333-4d52-9790-751c55748374.png)](https://cta-redirect.hubspot.com/cta/redirect/3893111/a7283d2e-7333-4d52-9790-751c55748374) | [![\[OR\] \[MAS\] \[E3\] \[C10\] Building a Resilience Culture](https://no-cache.hubspot.com/cta/default/3893111/9930350a-530c-412f-99a8-22812806d262.png)](https://cta-redirect.hubspot.com/cta/redirect/3893111/9930350a-530c-412f-99a8-22812806d262) | [![\[OR\] \[MAS\] \[E3\] \[C11\] Singapore Financial Sector Outlook](https://no-cache.hubspot.com/cta/default/3893111/2ef85c98-f632-4f2b-870f-106eafa93d0d.png)](https://cta-redirect.hubspot.com/cta/redirect/3893111/2ef85c98-f632-4f2b-870f-106eafa93d0d) | [![\[OR\] \[MAS\] \[E3\] \[C12\] Final Key Takeaways and Call to Action](https://no-cache.hubspot.com/cta/default/3893111/609332ce-b015-472e-884d-53a8b0f663b6.png)](https://cta-redirect.hubspot.com/cta/redirect/3893111/609332ce-b015-472e-884d-53a8b0f663b6) |
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 course and the OR-5000 Operational Resilience Expert Implementer course.
| [](https://cta-redirect.hubspot.com/cta/redirect/3893111/3530eccb-515d-401e-afc2-3469e26d7fbf) | [](https://cta-redirect.hubspot.com/cta/redirect/3893111/fdd4fa9c-ed69-40c1-925f-4eb6a1c5c255) | [](https://cta-redirect.hubspot.com/cta/redirect/3893111/77a34b84-0a6d-44f8-b8d6-6ab04cdf5edd) |
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| [![\[BL-OR\] \[3\] FAQ OR-300](https://no-cache.hubspot.com/cta/default/3893111/f20c71b4-f5e8-4aa5-8056-c374ca33a091.png)](https://cta-redirect.hubspot.com/cta/redirect/3893111/f20c71b4-f5e8-4aa5-8056-c374ca33a091) | If you have any questions, click to contact us.[![Email to Sales Team \[BCM Institute\]](https://no-cache.hubspot.com/cta/default/3893111/3c53daeb-2836-4843-b0e0-645baee2ab9e.png)](https://cta-redirect.hubspot.com/cta/redirect/3893111/3c53daeb-2836-4843-b0e0-645baee2ab9e) | [](https://cta-redirect.hubspot.com/cta/redirect/3893111/7f2718a4-ea80-4f84-a319-dc2d4df37a46) |
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