โ€• Paper Details โ€•

Abstract โ€•โ€‹

AI TRiSM is an important framework for tackling such complex risks arising due to Artificial Intelligence systems. The paper discusses in depth the guiding principles and methodologies involved in AI TRiSM that underline proactive measures necessary to ensure the deployment of AI safely and ethically in business contexts. This can be effectively performed by integrating mechanisms of building trust with the management of risks and putting strong security protocols into place. The following paper, therefore, charts out a comprehensive methodology to present the basic block diagram, algorithm flow chart, and result analysis that will portray how this AI TRiSM shall be realized. Finally, it presents the framework's benefits within the contemporary landscape of cyber security, showing the critical role it plays in fostering responsible AI practices.

Keywords โ€•โ€‹

AI TRiSM, Trust, Risk Management, Security Management, Cybersecurity, Ethical AI, Compliance, Model Governance, Bias Detection.

Cite this Publication โ€•โ€‹

Alex Mathew (2025), AI TRiSM: Trust, Risk, and Security Management in Cybersecurity. Multidisciplinary International Journal of Research and Development (MIJRD), Volume: 04 Issue: 03, Pages: 84-90. https://www.mijrd.com/papers/v4/i3/MIJRDV4I30004.pdf