Risk Management in the Banking Sector: Advanced AI

Risk Control and Management in the Banking Sector: Part II

While we may write many dissertations in route to our goal, it is not known, via scholarly frameworks and empirical literature, how individuals, terrorists, and bad actors can mediate AI outcomes by disrupting best practices in the banking sector.  Or was that a misnomer? 

Considered are significant recommendations that banks should contribute to and integrate accordingly as advanced AI-driven analytics that proactively detect and mitigate risks.

Scholarly literature suggests (Lion, et, al., 2025) banks should invest in and integrate accordingly AI-driven analytics to proactively detect and mitigate risks. Step by step measures include:

1. Machine learning algorithms and predictive analytics, as inductive to research, can analyze vast amounts of data in real-time, identifying (thematic) patterns and anomalies indicative of potential threats. 

2. To guarantee adherence to regulatory standards and reduce risk of non-compliance, banks should implement AI-based compliance monitoring systems. Consequentially, these systems can automate the continuous review of transactions and processes, ensuring regulatory requirements are met. 

3.Banks should deploy AI-powered fraud detection systems to safeguard against fraudulent activities such as identity theft, money laundering, and cyber-attacks. AI algorithms can analyze transaction data and customer behaviors to identify suspicious activities that deviate from normal patterns.

Pivotal is to anticipate challenges in one's domain, consider nearest proximity rule, and how the dark arts of dark personality traits (Machiavellianism, Narcissism, Psychopathy, and Sadism) could manifest over time, particularly through the use of alcohol and other drugs (AOD) (Capuzzi & Stauffer, 2025) to derail one entirely from achieving their goal. 

References

Lion, C. J., & Ekefre, A. E. (2024). Risk Control and Management in Banking Sector: Investigating the Work of Artificial Intelligence in Mitigating Risks. International Journal of Advancement in Education, Management, Science and Technology, 7(1), 82-92.

About the Author Kris van der Wal-Milne

Ms. van der Wal-Milne has worked over15 years with CISSP security analysts ranging from those at Gartner, Forrester, EMA, etc. As a former EMA associate research analyst, she recently entertained new phenomenological field experience, in the publicly held domain, on her security journey. Milne, a member of the Department of Public Safety, specializes in knowing artifact signs of inductive derailment, following her Ph.D. and Master's studies examining individual and group behavior.  She is available as a a business coach and as a technical journalist. Serious inquiries only may be sent to her personally email kmmilnephx@gmail.com No recruiters please. 



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