Disaster Recovery Journal Spring 2025

Artificial intelligence is already revolutionizing many industries, and its potential in the financial sector is profound. “

issued by supervisory authorities (e.g., the SBS) or frameworks like Basel III, is a complex and resource intensive process. AI can automate regulatory compliance by continuously scanning for updates to relevant laws, assessing their impact on operations and adjusting control systems accordingly.

and intellectual property. Compliance with frameworks such as ISO/IEC 27001 and national data protection laws is essential for ensuring the confidentiality, integrity and availability of this information. These two disciplines—business con tinuity and information security—are deeply interconnected. A robust business continuity strategy cannot exist without comprehensive information security mea sures, and effective information security practices must account for potential opera tional disruptions. AI as an Enabler in Business Continuity and Information Security Management Artificial intelligence is already revolu tionizing many industries, and its potential in the financial sector is profound. Here are some ways AI is enhancing both busi ness continuity and information security management: n Real-time monitoring and anomaly detection : AI-driven systems can leverage machine learning algorithms to monitor networks and systems continuously, identifying anomalies that may indicate emerging threats or impending failures. Unlike traditional intrusion detection systems, AI models can analyze historical patterns to predict incidents, allowing financial institutions to take proactive measures and reduce the likelihood of significant operational disruptions. n Optimization of business continuity plans : AI can analyze vast amounts of data to identify vulnerabilities in existing business continuity plans, offering predictive insights into potential disruptions. By simulating crisis scenarios, AI can evaluate how current response strategies may impact operations and recommend improvements. This capability allows institutions to refine their BCPs, ensuring they remain aligned with the latest regulatory requirements. n Automated regulatory compliance : Compliance with national and international regulations, such as those

consistently aligned with legal requirements. AI models can con tinuously review an orga nization’s security and continuity policies against current regulatory stan dards. They can provide adaptive solutions to reg ulatory changes, notify ing compliance officers when policies or controls need to be updated. This proactive alignment helps institutions avoid costly penalties and maintain the trust of both regulators and customers.

This reduces the burden of manual interventions, minimizes errors and ensures organizations remain compliant efficiently and in a timely manner. n Crisis management in real time : During an operational crisis, AI can function as a digital assistant, analyzing real-time data and providing decision-makers with actionable recommendations based on historical data and best practices. This enhances the speed and effectiveness of incident response, minimizing downtime and mitigating the impact on critical financial operations. n Automated simulations and training : AI can also be leveraged to design and execute automated crisis simulations, allowing financial institutions to train personnel and test their systems in various disruptive scenarios. By automating training and continuous evaluation of business continuity plans, institutions can maintain a high level of readiness without disrupting day-to-day operations. Aligning with Regulatory Bodies One of the most significant challenges financial institutions face is ensuring con tinuous compliance with evolving regula tory frameworks, which often differ across jurisdictions. AI can play a pivotal role in mapping regulatory statutes and ensuring internal policies related to both informa tion security and business continuity are

The Future of AI in Business Continuity and Information Security While AI is already demonstrating its potential, its adoption in the financial sector is still in its early stages. As AI tech nology continues to evolve, its integration into business continuity and information security strategies will deepen, offering financial institutions new and enhanced ways to manage risk. AI will help organi zations meet regulatory requirements with greater agility and precision, fostering operational resilience in a highly regulated and competitive environment. In conclusion, AI is poised to become a critical asset for financial institutions seeking to strengthen their business con tinuity and information security frame works while maintaining compliance with regulatory standards. By harnessing the power of AI, institutions can not only improve operational resilience but also ensure continuous and efficient alignment with an increasingly complex regulatory landscape. v “

Aldo Soraluz is a specialist in informa tion security and business continuity with expertise in ISO 27001, ISO 22301, and risk management in the financial sector. With certifications in cybersecurity, AI and

business intelligence, Soraluz focuses on implementing strategic solutions to enhance operational resilience and regulatory compliance for financial institutions.

36 DISASTER RECOVERY JOURNAL | SPRING 2025