Much of the current focus on AI safety has centred on models – how they are trained and monitored. But as systems become more autonomous, attention is changing toward the data those systems depend on. If the data feeding an AI system is fragmented, outdated, or lacks oversight, the system’s behaviour can become more unpredictable. Data governance is becoming a core part of how autonomous systems are controlled. Denodo is one of the companies working in this area, focusing on how organisations access and manage data in different sources. Autonomous AI systems carry out tasks with limited supervision, retrieving information, making decisions based on that information, and triggering actions in business workflows. The challenge is that these systems depend on a steady flow of data. In regulated industries, unpredictable results can create compliance risks. In customer-facing systems, it might result in poor decisions or incorrect responses.…