Mohanasevlan Jeyapalan, Senior VP, PMO at Expo City Dubai, commented on the evolution of cybersecurity from being a technical concern to a priority for board members, emphasizing that data quality is a risk that now demands executive-level attention. “Cybersecurity took a lot of time to come to board members, and data quality is a risk that needs to be discussed,” Jeyapalan stated. This shift marks a crucial step in aligning cybersecurity with broader business goals, ensuring that executive leaders are actively engaged in securing data quality and managing risks.
AI-Driven Insights for Predictive Risk Management
Another theme that resonated with panellists was the use of AI and analytics for predictive risk management. The ability to analyze large datasets to predict and prioritize threats empowers companies to take preemptive action, enhancing resilience against cyber incidents and other disruptions. In particular, AI can help security teams make more accurate predictions about where and when a threat may arise, enabling companies to allocate resources more effectively.
Anoop Kumar, Head of Information Security Governance, Rish and Compliance at GulfNews, Al Nisr Publishing also reflected this sentiment: “We need to make sure the risk is managed properly.” This proactive approach to managing risk with AI-driven insights is essential for companies seeking to not only respond to threats but anticipate and mitigate them before they materialize.
