Integration of Artificial Intelligence in Security Controls for Financial Organizations
Integration of Artificial Intelligence in Security Controls for Financial Organizations

Author(s): Atanas Nikolov, George Ridzhalski
Subject(s): Politics / Political Sciences, Politics, Economy, Business Economy / Management, Security and defense, ICT Information and Communications Technologies
Published by: Университет за национално и световно стопанство (УНСС)
Keywords: data breach; ransomware; CVE; NIST AI RMF; machine learning; deep learning; EU AI Act; privacy preserving artificial intelligence
Summary/Abstract: The digital transformation that is occurring nowadays in numerous organizations is based on the prerequisite for proactive security operations in terms of protecting valuable assets that could drain the financial efforts even of a well developed, built through decades, organizations. The core of this movement could be enabled by artificial intelligence, because cyberattacks are becoming more complex, and even more important - complexity that could be developed by almost anybody, through the usage of GPTs or other technologies, makes it easy for any company or governmental entity to become a target. In this paper, you can find exact ways on how artificial intelligence can help technical security controls, to proactively “catch” new attacks, by using sophisticated learning, rather than just simple rules for detection, and you will find how this correlates to the current compliance standards and frameworks.

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