Disaster Recovery Journal Summer 2025

The Role of AI in Resilience

enhances BCM by automating risk assess ments and improving decision-making. For example, AI-powered tools can ana lyze historical data and real-time trends to identify potential vulnerabilities, such as supply chain disruptions or system fail ures. These tools can simulate scenarios and recommend strategies, enabling pro active planning. Additionally, AI can optimize resource allocation during a crisis. For instance, machine learning algorithms can prioritize tasks, suggest the best course of action, and streamline recovery efforts. AI-driven chatbots are also employed to communi cate with stakeholders, providing timely updates and minimizing confusion during critical incidents. AI in Cybersecurity and Information Security In cybersecurity, AI is a game-changer. With cyber threats becoming increas

By MICHAEL C. REDMOND

A

rtificial intelligence (AI) has become a cornerstone in enhanc ing business operations and resilience across various indus tries. In the domains of business

recognize patterns, and provide predictive insights has enabled organizations to be better prepared for disruptions, safeguard critical assets, and recover efficiently. AI in Business Continuity Management Business continuity management (BCM) ensures organizations can operate during and recover from disruptions. AI

continuity management, information and cybersecurity, and emergency manage ment, AI is playing a transformative role. Its ability to process vast amounts of data,

16 DISASTER RECOVERY JOURNAL | SUMMER 2025