Library
AI Agents & Generative AI
Aggarwal, D. (2026) The Irrecoverable Institution: Why Replayability – Not Explainability – Is the Governance Standard for Agentic Banking. SSRN.
Aldridge, I. et al. (2026) Agentic Artificial Intelligence in Finance: A Comprehensive Survey. arXiv.
Anbiaee, Z. et al. (2026) Security threat modeling for emerging AI-agent protocols: A comparative analysis of MCP, A2A, Agora, and ANP. arXiv preprint.
Anthropic (2024) Building effective AI agents. San Francisco, CA: Anthropic.
Arora, S. and Hastings, J. (2025) ‘Securing Agentic AI Systems: A multilayer security framework’, arXiv preprint
Axelsen, H., Licht, V. and Damsgaard, J. (2025) Agentic AI for Financial Crime Compliance. arXiv.
Axelsen, H., Licht, V. and Damsgaard, J. (2025) ‘Agentic AI for financial crime compliance’, arXiv preprint.
Balasubramanian, P. et al. (2025) ‘Generative AI for cyber threat intelligence: applications, challenges, and analysis of real-world case studies’, Artificial Intelligence Review, 58(336).
Banfield, J. (2025) ‘Building trustworthy AI agents for compliance’, IBM.
Bohnsack, R., & de Wet, M. (2025). AI is the Strategy: From Agentic AI to Autonomous Business Models onto Strategy in the Age of AI.
Bohnsack, R., & de Wet, M. (2025). AI is the Strategy: From Agentic AI to Autonomous Business Models.
Bommarito, J., Katz, D.M. and Bommarito, M.J. (2025) Governing AI Agents: Risk, Compliance, and Accountability in Law and Finance. SSRN.
Bommarito, J., Katz, D.M. and Bommarito, M.J. (2025) ‘Governing AI agents: Risk, compliance, and accountability in law and finance’, SSRN Working Paper.
Breiter, A., & Lohmann, M. (2025). Generative AI in the Financial Sector: Strategic, Technological and Organizational Implementation.
Brynjolfsson, E., Li, D. and Raymond, L. (2025) 'Generative AI at work: Productivity, organisational design and workforce implications', Management Science, 71(3), pp. 1124–1146.
Brynjolfsson, E., Li, D. and Raymond, L.R. (2023) ‘Generative AI at Work’, National Bureau of Economic Research Working Paper Series.
Brynjolfsson, Erik, Li, D. and Raymond, L.R. (2023) Generative AI at Work. Quarterly Journal of Economics.
Bullmann, D., Klemm, J. and Pinna, A. (2019) In search for stability in crypto-assets: are stablecoins the solution? ECB Occasional Paper Series No. 230.
Bussmann, O. (2026a–2026h) LinkedIn articles and posts on agentic AI, governance, digital assets, payments infrastructure and financial services transformation. Available via LinkedIn profile.
Chopra, A. (2025) ‘Agentic AI in banking: The future and the challenges’, Forbes Technology Council.
Diffie, W. and Hellman, M. (1976) ‘New directions in cryptography’, IEEE Transactions on Information Theory, 22(6), pp. 644–654.
Doyle-Spare, M. (2026) The Agentic 3Cs Framework: A Reasoning-Layer Risk Governance Model for Agentic AI in Financial Services. SSRN.
Dwivedi, Y.K. et al. (2023) ‘So what if ChatGPT wrote it? Multidisciplinary perspectives on opportunities, challenges and implications of generative conversational AI for research, practice and policy’, International Journal of Information Management, 71, 102642.
Dwivedi, Y.K. et al. (2023) ‘So what if ChatGPT wrote it? Multidisciplinary perspectives on opportunities, challenges and implications of generative conversational AI’, International Journal of Information Management, 71, 102642.
Dwivedi, Y.K., Kshetri, N., Hughes, L., Slade, E.L., Jeyaraj, A., Kar, A.K., Baabdullah, A.M., Koohang, A., Raghavan, V. and Ahuja, M. (2023) 'So what if ChatGPT wrote it? Multidisciplinary perspectives on opportunities, challenges and implications of generative conversational AI', International Journal of Information Management, 71, 102642.
Dwivedi, Y.K., Kshetri, N., Hughes, L., Slade, E.L., Jeyaraj, A., Kar, A.K., Baabdullah, A.M., Koohang, A., Raghavan, V. and Ahuja, M. (2023) ‘So what if ChatGPT wrote it?” Multidisciplinary perspectives on opportunities, challenges and implications of generative conversational AI for research, practice and policy’, International Journal of Information Management, 71, p. 102642. Ettinger, A. (2025) ‘Enterprise Architecture as a Dynamic Capability for Scalable and Sustainable Generative AI Adoption’, arXiv preprint arXiv:2505.06326.
Dwivedi, Y.K., Kshetri, N., Hughes, L., Slade, E.L., Jeyaraj, A., Kar, A.K., Baabdullah, A.M., Koohang, A., Raghavan, V., Ahuja, M., Albanna, H., Albashrawi, M., Al-Busaidi, K.A., Balakrishnan, J., Barlette, Y., Basu, S., Bose, I., Brooks, L., Buhalis, D. and Wright, R. (2023) ‘So what if ChatGPT wrote it? Multidisciplinary perspectives on opportunities, challenges and implications of generative conversational AI for research, practice and policy’, International Journal of Information Management, 71, 102642.
Ehtesham, A. et al. (2025) A survey of agent interoperability protocols: MCP, ACP, A2A, and ANP. arXiv preprint.
Ettinger, A. (2025).Enterprise Architecture as a Dynamic Capability for Scalable and Sustainable Generative AI Adoption: Bridging Innovation and Governance in Large Organisations. arXiv, 2505.06326.
Ferrag, M. A., Tihanyi, N., & Debbah, M. (2025). From LLM Reasoning to Autonomous AI Agents: A Comprehensive Review.
Gaurav S., Heikkonen J., Chaudhary J., 2025, Governance-as-a-Service: A Multi-Agent Framework for AI System Compliance and Policy Enforcement
GRC 20/20 Research (2026) Agentic AI in GRC: Pulling Back the Curtain: Why Much of the Market is Theater, What Real Agency Requires, and How the Next Generation of GRC Earns Business Confidence Through Connected Context, Governed Action, and Proof. Milwaukee: GRC 20/20 Research.
Guo, T., Chen, X., Wang, Y., Chang, R., Pei, S., Chawla, N.V., Wiest, O. and Zhang, X. (2024) Large Language Model Based Multi-agents: A Survey of Progress and Challenges. Proceedings of IJCAI 2024.
Guo, T., Chen, X., Wang, Y., Chang, R., Pei, S., Chawla, N.V., Wiest, O. and Zhang, X. (2024) ‘Large language model based multi-agents: A survey of progress and challenges’, arXiv preprint arXiv:2402.01680.
Guo, T., Chen, X., Wang, Y., Chang, R., Pei, S., Chawla, N.V., Wiest, O. and Zhang, X. (2024) ‘Large Language Model Based Multi-Agents: A Survey of Progress and Challenges’, Proceedings of IJCAI 2024, pp. 8048–8057.
Habiba et al. (2024) – How Mature is Requirements Engineering for AI-based Systems? A Systematic Mapping Study on Practices, Challenges, and Future Research Directions Hillmann, P., Kesseler, M., Schnell, D., Mihelcic, G. and Karcher, A. (2024) ‘Enterprise Architecture Governance of Excellence’, Proceedings of the International Conference on Enterprise Information Systems.
Hazell, J. (2023) ‘Large Language Models Can Be Used to Effectively Scale Spear Phishing Campaigns’, arXiv preprint arXiv:2305.06972.
Hoang, T., et al. (2026) ‘ESG reporting lifecycle management using large language models and AI agents’, arXiv.
Jarrahi, M.H., Lutz, C., Newlands, G., Lee, M.K., Wolf, C.T., Kinder, E. and Sutherland, W. (2023) ‘Generative AI and the future of work: A human-centred perspective’, International Journal of Information Management, 73, 102720.
Kasneci, E. et al. (2023) ‘ChatGPT for good? On opportunities and challenges of large language models for education’, Learning and Individual Differences, 103, 102274.
Kikuchi, T. (2026).The Innovation Tax: Generative AI Adoption, Productivity Paradox, and Systemic Risk in the U.S. Banking Sector.
Kooy, S.J., Piest, J.P.S. and Bemthuis, R.H. (2025) ‘Impact and Implications of Generative AI for Enterprise Architects in Agile Environments: A Systematic Literature Review’, arXiv preprint arXiv:2510.22003.
Kubam, C.S. (2025) ‘Agentic AI for autonomous, explainable, and real-time credit risk decision-making’, arXiv preprint.
Kurshan, E., Balch, T. & Byrd, D. (2025) The Agentic Regulator: Risks for AI in Finance and a Proposed Agent-based Framework for Governance, arXiv:2512.11933 [cs.AI].
Kurshan, E., Balch, T. and Byrd, D. (2025) The Agentic Regulator: Risks for AI in Finance and a Proposed Agent-Based Framework for Governance. arXiv.
Masterman, T., Besen, S., Sawtell, M. and Chao, A. (2024) ‘The Landscape of Emerging AI Agent Architectures for Reasoning, Planning and Tool Calling: A Survey’.
McKinsey & Company (2023) The State of AI in 2023: Generative AI’s Breakout Year. Available at: https://www.mckinsey.com
Microsoft Research (2024) AI agents and enterprise orchestration: Emerging architectural patterns for agentic systems. Redmond, WA: Microsoft Research.
Microsoft Research (2024) AutoGen: Enabling Next-Generation Large Language Model Applications via Multi-Agent Conversation.
Mougani, A., et al. (2024).Generative AI in banking: Empirical insights on integration, challenges and opportunities in a regulated industry. International Journal of Bank Marketing, 43(4), 871–896.
Nannini, L. et al. (2026) AI Agents Under EU Law. arXiv.
Nast et al. (2025),Exploring Large Language Models in Enterprise Modelling. Discover Artificial Intelligence, 5, 293 (2025)
Noy, Shakked and Zhang, Whitney (2023) Experimental evidence on the productivity effects of generative AI. Science.
Okpala, I., Golgoon, A. and Kannan, A.R. (2025) ‘Agentic AI systems applied to financial services’, arXiv preprint.
OWASP (2025) OWASP Top 10 for LLM Applications and Generative AI Security Risks.
Park, J.S. et al. (2023) Generative Agents: Interactive Simulacra of Human Behavior, UIST.
Park, J.S., O'Brien, J., Cai, C. et al. (2024) 'Generative Agents: Interactive Simulacra of Human Behavior', Proceedings of the ACM Symposium on User Interface Software and Technology, 37(4), pp. 1–22.
Park, J.S., O'Brien, J., Cai, C.J., Morris, M.R., Liang, P. and Bernstein, M.S. (2024) 'Generative agents: Interactive simulacra of human behaviour', Proceedings of the ACM on Human-Computer Interaction, 8(CSCW), pp. 1–39.
Pervez, H. et al. (2025) ‘Governance-as-a-Service: A Multi-Agent Framework for AI System Compliance’, arXiv.
Plaat, A et al., (2025) ‘Agentic Large Language Models, a Survey’, Artificial Intelligence Review, forthcoming.
Plaat, A., van Duijn, M., van Stein, N., Preuss, M., van der Putten, P. and Batenburg, K.J. (2025) ‘Agentic Large Language Models: A Survey’.
Raza, S., Sapkota, R., Karkee, M. and Emmanouilidis, C. (2025) ‘TRiSM for Agentic AI: A review of trust, risk and security management in LLM-based agentic multi-agent systems’, arXiv preprint.
Ruben, M. (2025) ‘AI Agents for Compliance: Use Cases, Benefits, Challenges’, AI21.
Sarnot, N. (2025) ‘Security, risk and compliance in the world of AI agents’, CSO Online.
Sherson, J. (2024).A hybrid intelligent change management approach to generative AI adoption.
Shinn, N., Cassano, F., Berman, E., Gopinath, A., Narasimhan, K. and Yao, S. (2023) ‘Reflexion: Language Agents with Verbal Reinforcement Learning’, NeurIPS.
Shivanna, A. (2025) ‘How agentic AI will transform financial services’, Forbes Technology Council.
Singh, R. et al. (2025) ‘LLMs in the SOC: An empirical study of human-AI collaboration in Security Operations Centres’, arXiv preprint.
Srinivas, S. et al. (2025) ‘AI-augmented SOC: A survey of LLMs and agents for security automation’, Journal of Cybersecurity and Privacy, 5(4), 95.
Stryker, C. (2025) ‘AI Agent Governance’, IBM Think.
Suggu, S.K. (2025) ‘Agentic AI Workflows in Cybersecurity: Opportunities, Challenges, and Governance via the MCP Model’, Journal of Information Systems Engineering and Management.
Syros, G., Suri, A., Ginesin, J., Nita-Rotaru, C. and Oprea, A. (2025) ‘SAGA: A Security Architecture for Governing AI Agentic Systems’.
Taeihagh, Araz, (2025), Governance of Generative AI, Policy and Society, Volume 44, Issue 1, Pages 1–22
Tagliabue, J., Bianchi, F. and Greco, C. (2025) ‘Trustworthy AI in the agentic lakehouse: from concurrency to governance’, arXiv preprint arXiv:2511.16402.
Uddin, M. et al. (2025) ‘Generative AI revolution in cybersecurity’, Artificial Intelligence Review, 58.
Vinay, V. (2025) ‘The evolution of agentic AI in cybersecurity’, arXiv preprint
Wang, L., Ma, C., Feng, X., Zhang, Z., Yang, H., Zhang, J., Chen, Z., Tang, J., Chen, X., Lin, Y., Zhao, W.X., Wei, Z. and Wen, J. (2024) ‘A Survey on Large Language Model Based Autonomous Agents’, Frontiers of Computer Science, 18.
Wang, L., Ma, Y., Zhang, Q., Tian, S., Zhang, R., Shi, W. and others (2024) ‘A survey on large language model based autonomous agents’, Frontiers of Computer Science, 18(6), pp. 1–26.
Wang, X., Ma, Y., Chen, Y., Xiao, H., Huang, S. and Deng, Z. (2024) ‘A Survey on Large Language Model Based Autonomous Agents’, Artificial Intelligence Review, 57(8), pp. 1–45.
Wei, J. et al. (2022) Chain-of-Thought Prompting Elicits Reasoning in Large Language Models, NeurIPS.
Weinberg, A. I. (2025).A Framework for the Adoption and Integration of Generative AI in Midsize Organizations and Enterprises (FAIGMOE). arXiv, 2510.19997.
Willis, J.M. (2026) ‘The PBSAI governance ecosystem: A multi-agent AI reference architecture for securing enterprise AI estates’, arXiv preprint arXiv:2602.11301.
Wooldridge, M. (2009) An Introduction to MultiAgent Systems. 2nd edn. Chichester: Wiley.
Wooldridge, M. (2009) An Introduction to MultiAgent Systems. 2nd edn. Hoboken: Wiley.
Xi, Z., Chen, W., Guo, X., He, W., Ding, Y., Hong, B., Zhang, M., Wang, J., Jin, S., Zhou, E., Zheng, R., Fan, X., Wang, X., Xiong, L., Zhou, Y., Wang, W., Jiang, C., Zou, Y., Liu, X., Yin, Z., Dou, S., Weng, R., Cheng, W., Zhang, Q., Qin, W., Zheng, Y., Qiu, X., Huang, X. and Gui, T. (2023) ‘The Rise and Potential of Large Language Model Based Agents: A Survey’.
Xi, Z., Chen, W., Guo, X., Wang, W., Chen, H., Wang, Z., Zhang, Y., Li, Y. and others (2023) ‘The rise and potential of large language model based agents: A survey’, arXiv preprint arXiv:2309.07864.
Yao, S. et al. (2023) Tree of Thoughts: Deliberate Problem Solving with Large Language Models, NeurIPS.
AI Governance, Risk & Compliance
Abbott, K.W. and Snidal, D., 2009. The Governance Triangle: Regulatory Standards Institutions and the Shadow of the State.
Abraham, R., Schneider, J. & vom Brocke, J., 2019. Data governance: A conceptual framework. Journal of Strategic Information Systems, 28(4), 101–112.
Agarwal, A. & Nene, M.J., (2025). A five-layer framework for AI governance: integrating regulation, standards, and certification. arXiv:2509.11332 [cs.AI]
AITE Group, (2021). AML Model Risk Management: Too Critical to Ignore. Aite Group Report.
Aldasoro, I., Gambacorta, L., Giudici, P. and Leach, T. (2023) ‘The drivers of cyber risk in financial institutions’, Journal of Financial Stability, 64, 101074
Alles, M., 2015.Drivers of the use and facilitators and obstacles of the evolution of Big Data by the audit profession. Accounting Horizons, 29(2), pp.439–449.
Alles, M., Kogan, A. and Vasarhelyi, M. (2008) ‘Putting Continuous Auditing Theory into Practice: Lessons from Two Pilot Implementations’, Journal of Information Systems (2008) 22 (2): 195–214.
Almada, Marco (2023), Regulation by Design and the Governance of Technological Futures, European Journal of Risk Regulation
Arner, D.W., Auer, R. and Frost, J. (2020) ‘Stablecoins: Risks, Potential and Regulation’, Bank of International Settlements Working Papers, No. 905.
Aronoff, D., Calabia, F.C., Brownworth, A., Samuel, A. and Narula, N. (2026) ‘The Hidden Plumbing of Stablecoins: Financial and Technological Risks in the GENIUS Act Era’, arXiv.
Aven, T. (2015) ‘Improvements to risk assessment and management: A review of recent research’, Reliability Engineering & System Safety, 138, pp. 35–46.
Aven, T. (2016) ‘Risk assessment and risk management: Review of recent advances on their foundation’, European Journal of Operational Research, 253(1), pp. 1–13.
Aven, T. (2020) ‘Risk assessment and risk management: Review of recent advances on their foundation’, European Journal of Operational Research, 253(1), pp. 1–13.
Avgouleas, E. and Cullen, J.G. (2015) ‘Market discipline and EU corporate governance reform in the banking sector: Merits, fallacies, and cognitive boundaries’, Journal of Law and Society, 42(1), pp. 28–50.
Baeriswyl, R., Reynard, S. and Swoboda, A. (2024) ‘Retail CBDC purposes and risk transfers to the central bank’, Swiss Journal of Economics and Statistics, 160(7), pp. 1–17.
Baesens, B., Höppner, S., Verdonck, T. & Verbeke, W., 2021. Machine learning for financial risk management with Python. IEEE Security & Privacy, 19(4), pp.40–48.
Baesens, B., Höppner, S., Verdonck, T. and Verbeke, W. (2021) ‘Explainable AI for credit risk and fraud detection’, European Journal of Operational Research, 297(3), pp. 1073–1085.
Bamberger, K.A. (2010) ‘Technologies of Compliance: Risk Regulation and the Future of Corporate Crime Control’, Law & Society Review, 44(3), pp. 619–640.
Bamberger, K.A., 2010. Technologies of compliance: Risk and regulation in a digital age. Texas Law Review, 88(4), pp.669–739.
Basel Committee on Banking Supervision (2019) Principles for effective risk data aggregation and risk reporting. Basel: Bank for International Settlements.
Basel Committee on Banking Supervision (2023) Principles for operational resilience and AI governance, BIS.
Basel Committee on Banking Supervision (2023) Principles for operational resilience and cyber risk management. Basel: Bank for International Settlements.
Basel Committee on Banking Supervision (BCBS) (2015) Corporate governance principles for banks. Basel: Bank for International Settlements.
Basel Institute on Governance, (2022). Global Compliance Trends Report 2022. Basel: Basel Institute.
Batool, A., Zowghi, D. and Bano, M. (2025) ‘AI governance: a systematic literature review’, AI and Ethics, 5, pp. 3265–3279.
Batool, S., Abbas, A., Hussain, S., Raza, M., Lee, J. and Kim, S. (2025) ‘Operationalising responsible AI: Governance challenges and lifecycle controls’, AI and Ethics, 5(1), pp. 45–63.
Bennett, C.J. and Raab, C.D. (2020) The Governance of Privacy: Policy Instruments in Global Perspective. 3rd edn. Cambridge, MA: MIT Press.
Biener, C., Eling, M. and Wirfs, J.H. (2015) ‘Insurability of Cyber Risk: An Empirical Analysis’, The Geneva Papers on Risk and Insurance – Issues and Practice, 40(1), pp. 131–158. https://doi.org/10.1057/gpp.2014.19
Bierwolf, R., Hsu, J. and Weber, R. (2023) ‘Auditability and compliance infrastructures in digital organisations’, MIS Quarterly Executive, 22(1), pp. 1–15.
Black, J. (2021) ‘Decentring regulation: understanding regulatory governance’, Public Law, 2021(3), pp. 495–521.
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Boeken Jasmijn, (2024). From compliance to security, responsibility beyond law
Boiral, O. (2013) ‘Sustainability reports as simulacra? A counter-account of A and A+ GRI reports’, Accounting, Auditing & Accountability Journal, 26(7), pp. 1036–1071.
Bommasani, R. et al. (2021) On the Opportunities and Risks of Foundation Models. Stanford Center for Research on Foundation Models.
Bommasani, R. et al. (2021) ‘On the opportunities and risks of foundation models’. Stanford CRFM.
Borgogno, O. and Colangelo, G. (2020) ‘Consumer inertia and competition-sensitive data governance: The case of open banking’, Journal of European Consumer and Market Law, 9(4), pp. 143–152.
Bouslah, K., Kryzanowski, L. and M’Zali, B. (2018) ‘Social performance and firm risk: Impact of the financial crisis’, Journal of Business Ethics, 149(3), pp. 643–669.
Boyens, J., Paulsen, C., Moorthy, R. and Bartol, N. (2022) Supply Chain Risk Management Practices for Federal Information Systems and Organizations. National Institute of Standards and Technology (NIST).
Bromiley, P., McShane, M., Nair, A. and Rustambekov, E. (2015) ‘Enterprise risk management: Review, critique, and research directions’, Long Range Planning, 48(4), pp. 265–276.
Busch, P. and Henckel, C. (2019) ‘Three lines of defence in digital organisations’, Journal of Risk Management in Financial Institutions, 12(2), pp. 145–159.
Bussmann, N., Giudici, P., Marinelli, D. and Papenbrock, J. (2021) ‘Explainable AI in fintech risk management’, Frontiers in Artificial Intelligence, 4, pp. 1–5.
Butler, T. and O’Brien, L. (2019) Understanding RegTech for digital regulatory compliance, Disruptive Innovation in Business and Finance in the Digital World. Bingley: Emerald Publishing.
Butler, T. and O’Brien, L. (2019) ‘Understanding RegTech for digital regulatory compliance’, Information Systems Frontiers, 21(6), pp. 1237–1249.
Cennamo, C. & Santalo, J., 2013. P Zetzsche Coskun-Setirek, A. et al. (2023),Architecture and Governance of Digital Business Ecosystems: A Systematic Literature Review, Information Systems Management
Cherdantseva, Y., Burnap, P., Blyth, A., Eden, P., Jones, K., Soulsby, H. and Stoddart, K. (2016) ‘A review of cyber security risk assessment methods for SCADA systems’, Computers & Security, 56, pp. 1–27.
Chuang, M.Y. and Shrestha, S.K. (2025) ‘Fintech Converges with Investment and Risk: A Bibliometric Review’, Journal of Risk and Financial Management, 18(9), p. 517.
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de Lacey, C., Lane, M. and Prior, T. (2025) ESG Governance and Risk Management: Coordinating Anti-Corruption and Sustainability in Practice. London: Transparency International UK.
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Ellison, R.J., Woody, C., Mead, N.R. and Boyle, S. (2020) Evaluating and Mitigating Software Supply Chain Security Risks. Pittsburgh: Carnegie Mellon University Software Engineering Institute.
Endo, K., Edelenbos, J. and Gianoli, A. (2023) ‘Sustainable infrastructure: A systematic literature review on finance arrangements and governance modes’, Public Works Management & Policy, 28(4), pp. 443–475.
Erukude, S.T., Marella, V.C. and Veluru, S.R. (2026) AI-Driven Cybersecurity Threats: A Survey of Emerging Risks and Defensive Strategies. Available at: arXiv.
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Evangelista, E. and Rizvi, G. (2026), AI-Powered Knowledge Management Systems Across Industries: A Systematic Review of Applications, Implementation Barriers, and Ethical Challenges Fuentes-Quijada, G., Ruiz-González, F. and Caro, A. (2025) ‘Enterprise Architecture and IT Governance to Support the BizDevOps Approach: A Systematic Mapping Study’, Information Systems Frontiers, 27, pp. 865-888.
Eyadat Ali, A., Alamaren, A.S. and Almomani, S.L. (2025) ‘The influence of blockchain technology on reducing cybersecurity risks in financial transactions of commercial banks’, Frontiers in Blockchain, 8, 1657110.
Fenton, N. and Neil, M. (2019) Risk Assessment and Decision Analysis with Bayesian Networks. Boca Raton: CRC Press.
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Financial Action Task Force (FATF) (2021) Updated Guidance for a Risk-Based Approach to Virtual Assets and Virtual Asset Service Providers.
Financial Stability Board (FSB) (2022) Supervisory and regulatory approaches to climate-related risks and operational resilience. Basel: FSB.
Financial Stability Board (FSB) (2023) Enhancing third-party risk management and operational resilience. Basel: FSB.
Finch, W.W. & Butt, M., (2025).Gaps in AI-Compliant Complementary Governance Frameworks’ Suitability (for Low-Capacity Actors), and Structural Asymmetries (in the Compliance Ecosystem)—A Review. Preprints.org.
FINMA (2024) Governance and risk management when using artificial intelligence, Bern: Swiss Financial Market Supervisory Authority.
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García-Llorente, C. and Olmeda, I. (2026) ‘Algorithmic governance in banking: a comparative analysis of risk-based and accountability-oriented oversight’, Journal of Banking Regulation, 27(19).
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